Jobs for Machine Learning Engineer

Machine Learning Engineer

Automation Technologies LLC Columbus, OH

Job Overview Job ID: J36993 Specialized Area: Machine learning Job Title: Machine Learning Engineer Location: Columbus, DC Duration: 6 Months Domain Exposure: Pharmaceuticals, IT/Software Work Authorization: Client: To Be Discussed Later Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed) M.S. or Ph.D. in Computer Science or related technical field Experience with cloud infrastructure (AWS/Azure), particularly cloud storage (S3, Redshift) and computing (EC2, EMR) Experience with production database systems (e.g. Postgres) and technologies Experience with big data frameworks such as Cassandra, Spark and Hadoop Familiar with data processing tools such as Apache Beam, AWS Data Pipeline and GCP Dataflow Demonstrated awareness of how to succeed in ambiguous circumstances Experience with commercialization of analytics-driven applications / SaaS Experience with frameworks for distributed orchestration of multiple workloads such as Airflow and Celery Familiar with analytics frameworks and languages such as TensorFlow, Sci-kit learn, Spark, Scala, R, Python, MATLAB, etc. System Engineering and API based integration experience for large production systems Field experience working with customers and clients #J-18808-Ljbffr

High salary

Machine Learning Engineer

Blockchain Technologies. LLC Columbus, OH

Job Overview Specialized Area: Machine learning Job Title: Machine Learning Engineer Location: Columbus, DC Duration: 6 Months Domain Exposure: Pharmaceuticals, IT/Software Work Authorization: Client: To Be Discussed Later Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed) Experience Required: Experience with cloud infrastructure (AWS/Azure), particularly cloud storage (S3, Redshift) and computing (EC2, EMR) Experience with production database systems (e.g. Postgres) and technologies Experience with big data frameworks such as Cassandra, Spark and Hadoop Familiar with data processing tools such as Apache Beam, AWS Data Pipeline and GCP Dataflow Demonstrated awareness of how to succeed in ambiguous circumstances Experience with commercialization of analytics-driven applications / SaaS Experience with frameworks for distributed orchestration of multiple workloads such as Airflow and Celery Familiar with analytics frameworks and languages such as TensorFlow, Sci-kit learn, Spark, Scala, R, Python, MATLAB, etc. System Engineering and API based integration experience for large production systems Field experience working with customers and clients #J-18808-Ljbffr

Work Life Balance

Machine Learning Engineer

Cloud Analytics Technologies, LLC Columbus, OH

W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed. Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/third-party recruiters. Job Overview Job ID: J36993 Specialized Area: Machine learning Job Title: Machine Learning Engineer Location: Columbus, DC Duration: 6 Months Domain Exposure: Pharmaceuticals, IT/Software Work Authorization: To Be Discussed Later Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed) Minimum Qualifications M.S. or Ph.D. in Computer Science or related technical field Experience with cloud infrastructure (AWS/Azure), particularly cloud storage (S3, Redshift) and computing (EC2, EMR) Experience with production database systems (e.g. Postgres) and technologies Experience with big data frameworks such as Cassandra, Spark and Hadoop Familiar with data processing tools such as Apache Beam, AWS Data Pipeline and GCP Dataflow Demonstrated awareness of how to succeed in ambiguous circumstances Experience with commercialization of analytics-driven applications / SaaS Experience with frameworks for distributed orchestration of multiple workloads such as Airflow and Celery Familiar with analytics frameworks and languages such as TensorFlow, Sci-kit learn, Spark, Scala, R, Python, MATLAB, etc. System Engineering and API based integration experience for large production systems Field experience working with customers and clients Equal Opportunity Employer CLOUD ANALYTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. CLOUD ANALYTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will CLOUD ANALYTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract. #J-18808-Ljbffr

Machine Learning Engineer

Idaho Occupational Therapy Associaton Columbus, OH

W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed. Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters Job Overview Specialized Area: Machine learning Job Title: Machine Learning Engineer Location: Columbus,DC Duration: 6 Months Domain Exposure: Pharmaceuticals, IT/Software Work Authorization: Client: To Be Discussed Later Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed) Experience with cloud infrastructure (AWS/Azure), particularly cloud storage (S3, Redshift) and computing (EC2, EMR) Experience with production database systems (e.g. Postgres) and technologies Experience with big data frameworks such as Cassandra, Spark and Hadoop Familiar with data processing tools such as Apache Beam, AWS Data Pipeline and GCP Dataflow Demonstrated awareness of how to succeed in ambiguous circumstances Experience with commercialization of analytics-driven applications / SaaS Experience with frameworks for distributed orchestration of multiple workloads such as Airflow and Celery Familiar with analytics frameworks and languages such as TensorFlow, Sci-kit learn, Spark, Scala, R, Python, MATLAB, etc. System Engineering and API based integration experience for large production systems Field experience working with customers and clients MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract #J-18808-Ljbffr

High salary

Machine Learning Engineer

Quantum Technologies. LLC Columbus, OH

W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed. Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/third-party recruiters. Job Overview Specialized Area: Machine learning Job Title: Machine Learning Engineer Location: Columbus, DC Duration: 6 Months Domain Exposure: Pharmaceuticals, IT/Software Work Authorization: To Be Discussed Later Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed) Responsibilities Experience with cloud infrastructure (AWS/Azure), particularly cloud storage (S3, Redshift) and computing (EC2, EMR) Experience with production database systems (e.g. Postgres) and technologies Experience with big data frameworks such as Cassandra, Spark, and Hadoop Familiar with data processing tools such as Apache Beam, AWS Data Pipeline, and GCP Dataflow Demonstrated awareness of how to succeed in ambiguous circumstances Experience with commercialization of analytics-driven applications/SaaS Experience with frameworks for distributed orchestration of multiple workloads such as Airflow and Celery Familiar with analytics frameworks and languages such as TensorFlow, Sci-kit learn, Spark, Scala, R, Python, MATLAB, etc. System Engineering and API-based integration experience for large production systems Field experience working with customers and clients QUANTUM TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability, and veterans (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination, and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status, or any other protected status. QUANTUM TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements, or related matters. Nor will QUANTUM TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract. #J-18808-Ljbffr

Machine Learning Engineer

AI Technologies LLC. Columbus, OH

Job Overview Job ID: J36993 Specialized Area: Machine learning Job Title: Machine Learning Engineer Location: Columbus,DC Duration: 6 Months Domain Exposure: Pharmaceuticals, IT/Software Work Authorization: Client: To Be Discussed Later Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed) M.S. or Ph.D. in Computer Science or related technical field Experience with cloud infrastructure (AWS/Azure), particularly cloud storage (S3, Redshift) and computing (EC2, EMR) Experience with production database systems (e.g. Postgres) and technologies Experience with big data frameworks such as Cassandra, Spark and Hadoop Familiar with data processing tools such as Apache Beam, AWS Data Pipeline and GCP Dataflow Demonstrated awareness of how to succeed in ambiguous circumstances Experience with commercialization of analytics-driven applications / SaaS Experience with frameworks for distributed orchestration of multiple workloads such as Airflow and Celery Familiar with analytics frameworks and languages such as TensorFlow, Sci-kit learn, Spark, Scala, R, Python, MATLAB, etc. System Engineering and API based integration experience for large production systems Field experience working with customers and clients #J-18808-Ljbffr

Machine Learning Engineer

Robotics Prcocess Automation, LLC Columbus, OH

W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed. Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters. Job Overview Job ID: J36993 Specialized Area: Machine learning Job Title: Machine Learning Engineer Location: Columbus, DC Duration: 6 Months Domain Exposure: Pharmaceuticals, IT/Software Work Authorization: To Be Discussed Later Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed) Minimum Requirements M.S. or Ph.D. in Computer Science or related technical field Experience with cloud infrastructure (AWS/Azure), particularly cloud storage (S3, Redshift) and computing (EC2, EMR) Experience with production database systems (e.g. Postgres) and technologies Experience with big data frameworks such as Cassandra, Spark and Hadoop Familiar with data processing tools such as Apache Beam, AWS Data Pipeline and GCP Dataflow Demonstrated awareness of how to succeed in ambiguous circumstances Experience with commercialization of analytics-driven applications / SaaS Experience with frameworks for distributed orchestration of multiple workloads such as Airflow and Celery Familiar with analytics frameworks and languages such as TensorFlow, Sci-kit learn, Spark, Scala, R, Python, MATLAB, etc. System Engineering and API based integration experience for large production systems Field experience working with customers and clients ROBOTIC PROCESS AUTOMATION LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTIC PROCESS AUTOMATION LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTIC PROCESS AUTOMATION LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract. #J-18808-Ljbffr

Machine Learning Engineer

Robotics Technologies LLC Columbus, OH

W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed. Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters. Job Overview Job ID: J36993 Specialized Area: Machine learning Job Title: Machine Learning Engineer Location: Columbus, DC Duration: 6 Months Domain Exposure: Pharmaceuticals, IT/Software Work Authorization: To Be Discussed Later Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed) Minimum Requirements M.S. or Ph.D. in Computer Science or related technical field Experience with cloud infrastructure (AWS/Azure), particularly cloud storage (S3, Redshift) and computing (EC2, EMR) Experience with production database systems (e.g. Postgres) and technologies Experience with big data frameworks such as Cassandra, Spark and Hadoop Familiar with data processing tools such as Apache Beam, AWS Data Pipeline and GCP Dataflow Demonstrated awareness of how to succeed in ambiguous circumstances Experience with commercialization of analytics-driven applications / SaaS Experience with frameworks for distributed orchestration of multiple workloads such as Airflow and Celery Familiar with analytics frameworks and languages such as TensorFlow, Sci-kit learn, Spark, Scala, R, Python, MATLAB, etc. System Engineering and API based integration experience for large production systems Field experience working with customers and clients ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract. #J-18808-Ljbffr

Work Life Balance

Machine Learning Engineer

The Hartford Columbus, OH

Data Engineer - GE08AE We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future. The Hartford’s Actuarial strategic modeling team is seeking a Machine Learning Engineer to build MLOps and Generative AI services. This role will be part of a dedicated hybrid actuarial/data science team designing and delivering powerful analytical tools utilizing statistical modeling, machine learning, cloud computing, and big data platforms to enhance or overhaul core actuarial processes. The individual will work closely with our data science and data engineering teams to develop training and deployment pipelines for core actuarial models. This role is a Hybrid role that can be located in one of our four office locations (Hartford, CT, Charlotte, NC, Chicago, IL, and Columbus, OH). Core Values: Build AI/ML solutions, not just models. Trusted and transparent collaboration. Deliver safe, monitored products. Earn influence through humble confidence. Deliver viable products and evolve based on feedback. Responsibilities: Implement frameworks and technologies for AI/ML decision making. Assess new data sources and techniques. Develop and maintain MLOps and GenAI platforms. Deliver model deployment in AWS cloud. Promote MLOps best practices. Minimum Requirements: Authorized to work in the U.S without sponsorship now or in the future. Master’s degree or 2+ years of experience. Experience with CICD pipelines and practices (GIT), Python, big data technologies (AWS/GCP/AZURE). Experience in Cloud data warehouses (Snowflake or equivalent), data pipelines and automation. General understanding of model development lifecycle and orchestration frameworks. Preferred Skills: Experience with AWS tools, SageMaker, Docker, and Agile frameworks. Compensation: The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $100,960 - $151,440. Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age #J-18808-Ljbffr

Machine Learning Engineer (Remote)

DSW Inc. Columbus, OH

The Machine Learning Engineer is responsible for supporting the business by developing Integrated AL/ML solutions for use cases across the company. This position will develop and deploy AI/Machine Learning models in GCP, Azure Open AI or other cloud platform that drives business value, automates processes and enables efficiency. Machine Learning Engineer is an expert at working with structured and non-structured data sources and other programming/scripting languages. His/her expertise will be at the intersection of programming, mathematics, and data science. The role requires strong programing background and analytical mindset to collect requirements and translate them into an analytical solution. This person needs to have the ability to ask the right questions and translate complex technical details into business language for leadership. Ideal candidates enjoy working in demanding and fast-paced environments and are proactive, goal-oriented and team players. Reports To: VP, Enterprise Data Analytics & AI Essential Duties and Responsibilities: Design, build, and fine-tune machine learning models. Work with large datasets to train algorithms. Preprocess data, select appropriate models, and optimize their performance. Develop and deploy machine learning and AI models in cloud platform to enable and support strategic priorities of DBI across departments. Collaborate with stakeholders across organization to understand requirements, assimilate data needed, build predictive/prescriptive models, communicate results, and deploy predictions on edge or central database system for real time or batch predictions. Developing and implementing appropriate RAG architecture for model deployment. Working closely with cloud data engineers to implement RAG effectively within cloud platform for efficient inference. Staying current with generative AI enhancements and foundational models being available in the market and doing R&D on applicability on DBI use cases. Build an AI infrastructure and set standards for leveraging available cloud platforms to enable and educate citizen data scientists to leverage the power of machine learning, Build self-serve AI framework. Develop a strategic working relationship with cross-functional teams to align the data solutions to business KPI’s, levers and goals. Drive cross-functional teams to meet business objectives and influence co-workers and stakeholders, fostering strong working relationships. Lead several concurrent initiatives/projects to develop custom, easy-to-use self-service solutions to serve multiple stakeholder groups and business objectives. Furnish analysis with analytical insight while maintaining completeness, accuracy, and documentation. Identify areas and define solutions to maximize value-add to the organization. Required Skills: Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy using descriptive and predictive analytics that optimize statistical efficiency and quality of the model – feature engineering, feature selection, model evaluation, model selection, model drift evaluation etc. Strong Knowledge of supervised and unsupervised deep learning algorithms and experience in advanced deep learning libraries like TensorFlow, Keras, Pytorch, Caffe, Theano etc. Knowledge and experience in implementing ethical and responsible AI principles while implementing ML solutions is preferred. Strong statistical knowledge and understanding of application of algorithms based on data and business need. Extensive background in statistical analysis, computational sciences, mathematics, physics, or econometrics. Advanced analytical and problem-solving skills and an ability to work independently in a fast-paced and rapidly changing environment. Entrepreneurial spirit - self-motivated, strong sense of ownership/accountability, and results oriented with the ability to manage time and schedules effectively. Qualifications: Experience: Master’s degree in analytics or computer science with 4+ years of experience developing and deploying machine learning models is required. Experience with Big Data environments (very large 1st party data integrating multiple internal and external disjointed data). Experience working with underlying databases and tables. Understands table relationships to be able to do dimensional modeling; understands lookup tables and fact tables. Ability to write reusable code components. Familiarity with programming languages such as R and/or Python/ Julia/ Scala. Communication skills including the ability to identify and communicate data driven insights. Preferred Qualifications: Experience in development and deployment of models in GCP including Vertex AI OR Azure Open AI. Experience in SQL for data mining, feature engineering. Experience with cloud infrastructure platforms (Google Cloud Platform) is preferable. PhD in statistical domain/topic. Education: Master’s degree in Analytics or other STEM field (Data Analytics, Data Science, Computer Science, Data Engineering, Applied Mathematics). #J-18808-Ljbffr

Machine Learning Engineer (Remote)

Dice Columbus, OH

General Summary: The Machine Learning Engineer is responsible for supporting the business by developing Integrated AL/ML solutions for use cases across the company. This position will develop and deploy AI/Machine Learning models in Google Cloud Platform, Azure Open AI or other cloud platform that drives business value, automates processes and enables efficiency. Machine Learning Engineer is an expert at working with structured and non-structured data sources and other programming/scripting languages. His/her expertise will be at the intersection of programming, mathematics, and data science. The role requires strong programming background and analytical mindset to collect requirements and translate them into an analytical solution. This person needs to have the ability to ask the right questions and translate complex technical details into business language for leadership. Ideal candidates enjoy working in demanding and fast-paced environments and are proactive, goal-oriented and team players. Reports To: VP, Enterprise Data Analytics & AI Essential Duties and Responsibilities: Design, build, and fine-tune machine learning models. Work with large datasets to train algorithms. Preprocess data, select appropriate models, and optimize their performance. Develop and deploy machine learning and AI models in cloud platform to enable and support strategic priorities of DBI across departments. Collaborate with stakeholders across organization to understand requirements, assimilate data needed, build predictive/prescriptive models, communicate results, and deploy predictions on edge or central database system for real-time or batch predictions. Developing and implementing appropriate RAG architecture for model deployment. Working closely with cloud data engineers to implement RAG effectively within cloud platform for efficient inference. Staying current with generative AI enhancements and foundational models being available in the market and doing R&D on applicability on DBI use cases. Build an AI infrastructure and set standards for leveraging available cloud platforms to enable and educate citizen data scientists to leverage the power of machine learning, Build self-serve AI framework. Develop a strategic working relationship with cross-functional teams to align the data solutions to business KPI's, levers and goals. Drive cross-functional teams to meet business objectives and influence co-workers and stakeholders, fostering strong working relationships. Ability to stand by decisions and move forward with courage. Lead several concurrent initiatives/projects to develop custom, easy-to-use self-service solutions to serve multiple stakeholder groups and business objectives. Furnish analysis with analytical insight while maintaining completeness, accuracy, and documentation. Identify areas and define solutions to maximize value-add to the organization. Required Skills: Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy using descriptive and predictive analytics that optimize statistical efficiency and quality of the model - feature engineering, feature selection, model evaluation, model selection, model drift evaluation etc. Strong Knowledge of supervised and unsupervised deep learning algorithms and experience in advanced deep learning libraries like TensorFlow, Keras, Pytorch, Caffe, Theano etc. Experience leveraging foundational models like Claude 3.5, GPTs, Gemini, Llama etc. Knowledge and experience in implementing ethical and responsible AI principles while implementing ML solutions is preferred. Strong statistical knowledge and understanding of application of algorithms based on data and business need. Extensive background in statistical analysis, computational sciences, mathematics, physics, or econometrics. Advanced analytical and problem-solving skills and an ability to work independently in a fast-paced and rapidly changing environment. Entrepreneurial spirit - self-motivated, strong sense of ownership/accountability, and results oriented with the ability to manage time and schedules effectively. Competencies: SETTING GOALS: Creates and follows effective plans. Anticipates risks, creates contingency plans. Aligns plans with goals. Allocates adequate resources. Accepts and supports change. Willing to take risks and suggests new ideas, approaches. Takes initiative. Seeks out learning activities. WORKING WITH OTHERS: Clearly articulates own, other's goals. Promotes a team atmosphere by demonstrating humility and respect. Builds effective relationships, relates well to others. Delivers and responds to feedback in a constructive manner. Considers multiple perspectives. Handles conflict, pressure, uncertainty and adapts independently. Meets commitments. Dedicated to working with business partners on their expectations. GETTING RESULTS: Personally accountable for work performance targets and achieving results. Prioritizes well. Anticipates and handles obstacles effectively. Makes good, timely decisions. Can simplify and process complex problems. Understands underlying issues and addresses root causes. Meets deadlines, works until finished. Qualifications: Experience: Master's degree in analytics or computer science with 4+ years of experience developing and deploying machine learning models is required. Experience with Big Data environments (very large 1st party data integrating multiple internal and external disjointed data). Experience in model metrics monitoring, orchestrating ML workflows using pipelines, version control, model drift management. Experience working with underlying databases and tables. Understands table relationships to be able to do dimensional modeling; understands lookup tables and fact tables. Ability to write reusable code components. Familiarity with programming languages such as R and/or Python/ Julia/ Scala. Communication skills including the ability to identify and communicate data-driven insights. Preferred Qualifications: Experience in development and deployment of models in Google Cloud Platform including Vertex AI OR Azure Open AI. Experience in SQL for data mining, feature engineering. Experience with cloud infrastructure platforms (Google Cloud Platform) is preferable. PhD in statistical domain/topic. Retail experience preferred. Education: Master's degree in Analytics or other STEM field (Data Analytics, Data Science, Computer Science, Data Engineering, Applied Mathematics). #LI-Remote IMPORTANT NOTICE: We learned of a fake job offer scam where individuals are using a company's name and branding to create emails and websites designed to trick individuals into providing personal information because they think they are applying for a job directly with the company. To combat this, companies are listing their legitimate hiring sites and communication methods. Our valid email addresses end in @dswinc.com, @designerbrands.com and @camutogroup.com. Two examples of non-legitimate email addresses are ones that end in @designerbrands.info or @designerbrands.work (do not respond to interview requests or other messages from these). If you are not certain about a communication or an information request, a good practice is to independently look-up a contact for the company (do not use the contact method listed in the request) to verify that you are contacting the right person and not being deceived. If you want to verify a Designer Brands' related hiring request, please send a message to Please know we are working to do what we can to stop these scams. #J-18808-Ljbffr

Best Match

Machine Learning Engineer (Remote)

Designer Brands Columbus, OH

General Summary: The Machine Learning Engineer is responsible for supporting the business by developing Integrated AL/ML solutions for use cases across the company. This position will develop and deploy AI/Machine Learning models in GCP, Azure Open AI or other cloud platform that drives business value, automates processes and enables efficiency. Machine Learning Engineer is an expert at working with structured and non-structured data sources and other programming/scripting languages. His/her expertise will be at the intersection of programming, mathematics, and data science. The role requires strong programing background and analytical mindset to collect requirements and translate them into an analytical solution. This person needs to have the ability to ask the right questions and translate complex technical details into business language for leadership. Ideal candidates enjoy working in demanding and fast-paced environments and are proactive, goal-oriented and team players. Reports To: VP, Enterprise Data Analytics & AI Essential Duties and Responsibilities: Design, build, and fine-tune machine learning models. Work with large datasets to train algorithms. Preprocess data, select appropriate models, and optimize their performance. Develop and deploy machine learning and AI models in cloud platform to enable and support strategic priorities of DBI across departments. Collaborate with stakeholders across organization to understand requirements, assimilate data needed, build predictive/prescriptive models, communicate results, and deploy predictions on edge or central database system for real time or batch predictions. Developing and implementing appropriate RAG architecture for model deployment. Working closely with cloud data engineers to implement RAG effectively within cloud platform for efficient inference. Staying current with generative AI enhancements and foundational models being available in the market and doing R&D on applicability on DBI use cases. Build an AI infrastructure and set standards for leveraging available cloud platforms to enable and educate citizen data scientists to leverage the power of machine learning, Build self-serve AI framework. Develop a strategic working relationship with cross-functional teams to align the data solutions to business KPI's, levers and goals. Drive cross-functional teams to meet business objectives and influence co-workers and stakeholders, fostering strong working relationships. Ability to stand by decisions and move forward with courage. Lead several concurrent initiatives/projects to develop custom, easy-to-use self-service solutions to serve multiple stakeholder groups and business objectives. Furnish analysis with analytical insight while maintaining completeness, accuracy, and documentation. Identify areas and define solutions to maximize value-add to the organization Required Skills: Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy using descriptive and predictive analytics that optimize statistical efficiency and quality of the model - feature engineering, feature selection, model evaluation, model selection, model drift evaluation etc. Strong Knowledge of supervised and unsupervised deep learning algorithms and experience in advanced deep learning libraries like TensorFlow, Keras, Pytorch, Caffe, Theano etc. Experience leveraging foundational models like Claude 3.5, GPTs, Gemini, Llama etc. Knowledge and experience in implementing ethical and responsible AI principles while implementing ML solutions is preferred. Strong statistical knowledge and understanding of application of algorithms based on data and business need. Extensive background in statistical analysis, computational sciences, mathematics, physics, or econometrics. Advanced analytical and problem-solving skills and an ability to work independently in a fast-paced and rapidly changing environment. Entrepreneurial spirit - self-motivated, strong sense of ownership/accountability, and results oriented with the ability to manage time and schedules effectively. Competencies: SETTING GOALS - Creates and follows effective plans. Anticipates risks, creates contingency plans. Aligns plans with goals. Allocates adequate resources. Accepts and supports change. Willing to take risks and suggests new ideas, approaches. Takes initiative. Seeks out learning activities. WORKING WITH OTHERS - Clearly articulates own, other's goals. Promotes a team atmosphere by demonstrating humility and respect. Builds effective relationships, relates well to others. Delivers and responds to feedback in a constructive manner. Considers multiple perspectives. Handles conflict, pressure, uncertainty and adapts independently. Meets commitments. Dedicated to working with business partners on their expectations. GETTING RESULTS - Personally accountable for work performance targets and achieving results. Prioritizes well. Anticipates and handles obstacles effectively. Makes good, timely decisions. Can simplify and process complex problems. Understands underlying issues and addresses root causes. Meets deadlines, works until finished. Qualifications: Experience: Master's degree in analytics or computer science with 4+ years of experience developing and deploying machine learning models is required Experience with Big Data environments (very large 1st party data integrating multiple internal and external disjointed data) Experience in model metrics monitoring, orchestrating ML workflows using pipelines, version control, model drift management. Experience working with underlying databases and tables. Understands table relationships to be able to do dimensional modeling; understands lookup tables and fact tables. Ability to write reusable code components Familiarity with programming languages such as R and/or Python/ Julia/ Scala Communication skills including the ability to identify and communicate data driven insights Preferred Qualifications: Experience in development and deployment of models in GCP including Vertex AI OR Azure Open AI Experience in SQL for data mining, feature engineering. Experience with cloud infrastructure platforms (Google Cloud Platform) is preferable PhD in statistical domain/topic Retail experience preferred. Education: Master's degree in Analytics or other STEM field (Data Analytics, Data Science, Computer Science, Data Engineering, Applied Mathematics) #LI-Remote ALREADY AN ASSOCIATE? You must apply through our internal portal: click here Why Choose A Career with Designer Brands? Empowering associates and building strong teams poised to disrupt the retail and footwear landscape through positive change is at the core of who we are at Designer Brands. Invested in helping our associates learn, develop, achieve and grow into strong leaders Shared commitment to creating a culture fueled by engagement, excitement, optimism and fun Dedicated to giving back and community involvement About Designer Brands: Designer Brands Inc. is one of North America's largest designers, producers and retailers of footwear and accessories. Designer Brands Inc. operates a portfolio of retail concepts in more than 640 locations under the DSW Designer Shoe Warehouse and the shoe co. brands. Designer Brands designs and produces footwear and accessories through Camuto Group, a leading manufacturer selling in more than 6,400 stores worldwide. IMPORTANT NOTICE: We learned of a fake job offer scam where individuals are using a company's name and branding to create emails and websites designed to trick individuals into providing personal information because they think they are applying for a job directly with the company. To combat this, companies are listing their legitimate hiring sites and communication methods. Our valid email addresses end in @dswinc.com, @designerbrands.com and @camutogroup.com. Two examples of non-legitimate email addresses are ones that end in @designerbrands.info or @designerbrands.work (do not respond to interview requests or other messages from these). If you are not certain about a communication or an information request, a good practice is to independently look-up a contact for the company (do not use the contact method listed in the request) to verify that you are contacting the right person and not being deceived. If you want to verify a Designer Brands' related hiring request, please send a message to [email protected]. Please know we are working to do what we can to stop these scams.

Engineer

Olshan Properties Columbus, OH

Job Description Job Description POSITION PURPOSE: The installation and repair of all building systems, to ensure a safe, efficient, and comfortable operation of the hotel according Olshan Properties, and Marriott Hotels’ standards. Perform preventative maintenance as assigned. ESSENTIAL FUNCTIONS: Perform preventative maintenance on all guest rooms using the approved check list. This will include, but not limited to, replacing lamps, repairing wallpaper, caulking, tile grout, faucets, toilets, changing filters, furniture repair, painting, etc. Maintain Marriott logs and inspection sheets. Perform simple preventative maintenance tasks, i.e. replace HVAC filters, etc. Replace ceiling light bulbs in the public and office areas of the hotel. Support the GXP Program throughout the hotel. Learn and utilize all essential functions of GXP from accepting, starting, stopping if needed, adding notes, adding pictures, etc.… on all Service Orders and PM orders. Give all Emergencies & Guest Occupied rooms the highest priority. Check work orders daily to follow up on any that needed parts or any that may be left from the previous day. Perform repair work given on all service orders and PM Orders and ensure all work is completed in a timely manner. Handle minor repairs of wall vinyl, woodwork, etc. using basic plumbing, electrical, and carpentry skills. Aide other engineers in completing repair and maintenance work on the building and equipment that requires more than one person. SUPPORTIVE FUNCTIONS : In addition to performance of the essential functions, this position may be required to perform a combination supportive functions, with the percentage of time performing each function to be solely determined by the Director of Engineering and/or the General Manager based upon the particular requirements of the Hotel. OTHER: Regular attendance in conformance with the standards, which may be established by the hotel from time to time, is essential to the successful performance of this position. Team Members with irregular attendance will be subject to disciplinary action, up to and including termination of employment. Due to the cyclical nature of the hospitality industry, employees may be required to work varying schedules to reflect the business needs of the hotel. Upon employment, all Team Members are required to fully comply with hotel rules and regulations for safe and efficient operation of hotel facilities. Team Members who violate hotel rules and regulations will be subject to disciplinary action, up to and including termination of employment S PECIFIC JOB KNOWLEDGE, SKILLS AND ABILITIES The individual must possess the following knowledge, skills and abilities and be able to explain and demonstrate that he or she can perform the essential functions of the job, with or without reasonable accommodations, using some other combination of skills and abilities. Possess basic mechanical aptitude for the operation and repair of the hotel and its equipment. Possess basic knowledge of the carpentry, painting, commercial heating and air conditioning, plumbing, and electrical disciplines. Possess basic knowledge and skill with both hand operated electrical equipment and the ability to instruct subordinates in the proper and safe usage of said equipment. Ability to react quickly/decisively to changes in the Engineering Department and Hotel. Ability to perform tasks while bending, stooping, kneeling, or standing while supporting additional weight up to 25 lbs. Ability to perform duties in a confined space and in an awkward position. Ability to climb stairs, ladders or use a man lift to work at heights up to 30 feet, often reaching overhead. Ability to push, pull, grasp, lift, and/or otherwise move supplies and equipment weighing up to 75 lbs., occasionally waist high. Ability to concentrate in high pressure possibly dangerous area. Ability to communicate telephonically, face-to-face, and over a hand-held two-way radio. Ability to hear a change in pitch of high-speed mechanical equipment. Visual ability to read manufacturer’s instructions, correspondence, schematics, blueprints, etc. Visual ability to determine wire colors for safe repair and detect emergency situations. Possess a basic ability to write and speak English, to comprehend and communicate instructions to both the hotel and its clients. Ability to remain calm in emergency situations and to effectively deal with the internal and external guests, some of whom require patience, tact and diplomacy to defuse anger, collect accurate information, and solve guest concerns. Ability to work under time constraints and deadlines, must be productive in quantity and quality of work. Ability to work in a 365-day 24 hour environment. Ability to use finger/hand movements for extended periods of time. Finger and hand dexterity to manipulate switches, writing instruments, a computer keyboard, etc. Knowledge of GXP system. Knowledge and proper usage of Lock Out/ Tag Out training. Protect employer’s privacy and data; keep passwords safe. Assist all Easton Hotels with any maintenance needs. QUALIFICATION STANDARDS: Education: Any combination of education and experience equivalent to graduation from high school or any combination of education, training, or experience that provides the required knowledge, skills and abilities. High school graduate preferred. Experience: Basic experience in maintenance trades, including electrical, plumbing, mechanical, and carpentry. Licenses or Certificates: No Licenses required for this position. Electrical License, Refrigeration License, Fire Safety License, and Professional Engineering License preferred. Grooming: All Team Members must maintain a neat, clean and well groomed appearance per the Olshan Properties Team Member Handbook. Other: Additional language ability preferred.

Engineer

QISG Columbus, OH

Job Description Job Description We use in-house talent, expertise and resources to plan, design, engineer, manage, conduct maintenance on and construct projects. This turnkey project execution strategy ensures there is one point of contact to handle projects of any size from beginning to end and allows a cohesive and coordinated Quanta Services team to enter the project life cycle at the earliest stage possible. Our turnkey service capabilities provide our customers with efficiency, consistency, attention to detail and safe execution. The QISG team brings together Engineering, Safety, Quality, Material Procurement, QA/QC, Right-of-Way Acquisition, Scheduling, Environmental Planning, Permitting, Title and Land Management expertise that ensure outstanding results for our clients. JOB TITLE: Engineer DEPARTMENT: Engineering REPORTS TO: Supervising Engineering CLASSIFICATION: Exempt POSITION OVERVIEW: The Project Engineer will oversee the design of high voltage infrastructure projects. This role involves leading a team of engineers and designers to ensure projects are completed on time, within budget, and in compliance with all relevant regulations and standards. The ideal candidate will have a strong background in civil, mechanical, or electrical engineering, with extensive experience in high voltage substation or transmission line projects. What We Offer: Competitive salary. Comprehensive health and retirement benefits. Professional development opportunities. What You’ll Do: Engineer projects from inception to completion, including planning, design, permitting, construction support, and closeout. Prepare engineering calculations, drawings, and specifications for electrical substations or transmission lines with minimal supervision. Execute design tasks to a budget and schedule. Comply with quality control procedures to ensure the highest standards of workmanship and materials. Take personal responsibility for the quality and accuracy of his/her work. Participate in the training and mentoring of new engineers. What You’ll Bring: Required Experience and Education Minimum of 3-5 years’ experience in the electric utility industry performing detailed engineering for high voltage substation or transmission line projects. Bachelor of Science degree (B.S.) or Graduate degree in Engineering from an ABET accredited university. Successfully passed the Fundamentals of Engineering Exam. P.E. license preferred or attainable within 12 months of employment. Strong technical expertise in structural, civil, electrical, or mechanical engineering, with a comprehensive understanding of engineering principles and practices. Knowledge of electric utility engineering and construction standards. Knowledge of design documents and drawings necessary to complete a project. Strong understanding of industry specific software packages. Demonstrated experience supporting external customers. Excellent communication, interpersonal, and leadership skills, with the ability to collaborate effectively with internal teams, clients, and external partners. Knowledge of relevant industry codes, standards, and regulations, including ANSI, ASTM, ACI, AISC, IEEE, NEC, NESC, and others. Able to deal with ambiguity and ability to work independently, manage multiple tasks and determine priorities in a complex environment. Travel Requirements: Role will require travel as necessary to achieve job responsibilities, up to 5-10% of the time. Note: This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities, working conditions, physical demands, and activities my change or new ones may be assigned at any time with or without notice. Quanta provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Powered by JazzHR Vy9t4TwSXZ

DevOps Engineer

TEKsystems Columbus, OH

Job Description Job Description 18-Month Contract Implementation and support of code management and observability tools supporting DevOps practices in the enterprise. Individual will take part in efforts to automate common requests, develop self-service capabilities in all our tools and partner with our 24x7 support teams to take on after-hours support. They will also be expected to be on-call on a rotational basis, monitor chat channels and resolve incident tickets. Standard Skill Expectations for this role/team: Successful Members of the DevOps Platform Team are full-stack engineers who have proven knowledge in all stages of software development; building enterprise-class software applications from front-end to back-end across multiple technology layers including: Front End Development, API Design and DevOps functions while also including infrastructure server/ configuration automation. Recommended skill areas include : •Development: –Thorough knowledge of and experience with the Software Development Lifecycle (SDLC) in both waterfall and Agile environments. –Architecture, design, implementation, and testing of UI, services, and backend components and databases. –Experience with common integrated development environments (IDEs) like intelliJ, Eclipse, Visual Studio Code, etc. –Proven experience and knowledge for the following, but not limited to dynamic server coding environments such as Python, Ruby, Angular or Node.js and developing REST APIs. –Working knowledge of HTTP, HTML5, CSS, JavaScript, AJAX, JSON, WebSocket, NoSQL database systems (Mongo, Cassandra, HBase, BigTable, Redis); Production experience creating a NoSQL schema and managing scaled access to a NoSQL data store. •Infrastructure: –Confident in Linux\Windows OS administration including secure configuration, patching, and troubleshooting, shell scripting. –Proficiency with cloud hosting solutions with a bias towards AWS, its native tools and other utilities designed specifically to operate on the AWS platform. –Knowledge of configuration management systems such as Puppet or Chef. –Interest in emerging platform-as-a-service / distributed application frameworks such as Cloud Foundry, Spring, ElasticBeanstalk and Docker. –Experience with enterprise class application performance management tools like New Relic and performance testing tools like StormRunner and BlazeMeter specifically as they are used to create feedback loops and quality control in the Software Development Lifecycle. •General: –Passionate about Devops principals, continuous improvement, amplified feedback loops, rapid experimentation and A3 problem solving. –Presenter at internal and external conferences like re:invent and TechCon. Builds and administers teaching Thursdays and other group training sessions. –Authors white papers, knowledge entries, job tools, etc. in their area of expertise for both internal and external audiences –Bachelor's Degree or applicable work experience plus 6-9 years of experience in a software engineering and development role

Voice Engineer

TEKsystems Columbus, OH

Job Description Job Description Description Lumen Technologies (formerly CenturyLink) has won a Managed Services contract with the State of Arizona (AZNet III). Part of the new contract award will require Lumen to migrate the existing contact center environments for the 120+ agencies from Cisco UCCE to Genesys PureCloud. The role of this engineer will be the primary point of contact between Lumen and State of AZ agencies to understand the requirements of the agency and subsequently turn around a technology test environment to meet their objectives. PureCloud is a relatively new technology, only out about 2 years--so the ideal candidate will have a much more in-depth background implementing contact center environments (Genesys, Cisco, Avaya, etc.). The position can sit 100% remote, however will need to be able to meet the needs of the business during core business hours (8a-5p AZ time). There will also be times where the engineer will be required to potentially work nights/weekends in support of implementation/migration activities during change windows to minimize the impact to the business during core hours. This will absolutely be a customer-facing role (remote) and the personality, demeanor and professionalism needs to be present to be successful. Lumen is seeking the type of engineer who can gather the basic requirements to understand what an agency would need within their environment; build a test environment almost immediately and get it back to the customer to play around with. Enterprise Req Skills Genesys,PureCloud,Genesys PureCloud,Telephony,Call Center,Contact Center,VoIP,Programming,Scripting Job Title Genesys Engineer Top Skills Details 1. Genesys PureCloud implementation/migration experience 2. Gathering requirements from the customer to quickly turn around test environments 3. 5+ years in a Contact Center engineering role, familiar with writing Call Flows (PureCloud has only been around a few years) Worksite Address 800 West Washington Street,Phoenix,Arizona,United States,85007 External Communities Job Description TEKsystems is seeking a Genesys Engineer with experience implementing Genesys PureCloud on an enterprise scale. PureCloud is a newer technology, so the ideal candidate will have a broader background within contact center engineering as a whole (Cisco, Avaya, Genesys, etc.) EVP This is a long-term position, backfilling the current lead engineer who was promoted to run with additional contact center environments for Lumen. This engineer will be directly responsible for a smooth migration to Genesys and directly impacting the experience of all residents who need to get in contact with various State agencies. Work Environment Will be on a small team of contact center engineers for Lumen supporting the State of AZ within their Voice Engineering group. Will need to work directly with Agency stakeholders, and will also be working with the Genesys Professional Services team that is aligned to this project. Will be expected to work standard business hours (AZ Time) and will also potentially need to work nights/weekends for implementations and migration activities to reduce impact to the business. Additional Skills Tags Telephony,Call Center,VoIP Additional Skills & Qualifications MUST be comfortable in a customer-facing role to gather requirements, understand what they are looking to accomplish and then turn those requirements into functioning technology features. Genesys Cloud Certified Professional (GCP-GC) certification a huge plus--if they don\'t have the cert, they must feel comfortable and at the level to be able to sit for the exam. Impact to the Internal/External Customer Internal: Without finding an engineer who can fill this need will result in a sub-par implementation and migration of the AZNet contact center environment. Interview Information Interview with Angel Bingham, Sr. Manager of Contact Center Business Challenge A smooth migration of Contact Center environments from Cisco to Genesys PureCloud will be critical to the success of the AZNet III contract, delivering seamless communications back to the State of Arizona.

Research Leader/Engineer

EVRAZ North America Columbus, OH

Job Description Job Description At EVRAZ, our strength starts with our people! As a team we collaborate to solve problems, contribute ideas and challenge each other to ensure growth and ultimately success for the business and our employees. JOB SUMMARY This position will lead the development and implementation of a new research facility dedicated to understanding the response of steel line pipe and oil country tubular good (OCTG) products to alternative energy environments, including high pressure hydrogen (H2) and carbon dioxide (CO2). The position will also oversee the research technologist(s) conducting tests in these specialized environments and analyze/report test results to various stakeholders. Accordingly, successful candidates must have experience establishing laboratory testing capabilities and must be familiar with the challenges of high pressure H2 and CO2. This position is critical to our future success, as we look to develop, qualify, and supply products suited for a rapidly expanding alternative energy market. JOB RESPONSIBILITIES Lead the development and implementation of a new research facility focused on the interaction of alternative energy environments, such as high pressure H2 and CO2, with steel line pipe and OCTG products (25%). Responsibilities include: Scope and supply of lab equipment Scope and execution of facility modifications Lab equipment installation and commissioning Testing procedure development Design, implement, and oversee specialized dense phase CO2 corrosion testing plan. Analyze and present results to internal and external stakeholders. Design high pressure H2 mechanical testing plan with input from program managers and research engineers. Analyze and present results to internal and external stakeholders. Supervise research technologist(s) conducting high pressure CO2 corrosion tests and high pressure H2 mechanical tests. Coordinate collaboration with research partners, including developing research proposals. Engage with standards organizations to facilitate the development of relevant CO2 and H2 testing standards. Perform other duties as they might be assigned. EDUCATION AND EXPERIENCE Minimum M.Sc. in Metallurgical or Mechanical Engineering or related field. Preference will be given to candidates with a Ph.D. Minimum 2 years (Research Engineer) or 5 years (Research Leader) experience establishing or leading a testing laboratory, including facility, equipment, and procedure development. Minimum 1 year (Research Engineer) or 3 years (Research Leader) of experience testing in high pressure fluids, such as corrosion testing in dense CO2 or mechanical testing in H2. Minimum 1 year (Research Engineer) or 3 years (Research Leader) of experience in mechanical testing, including tensile, fracture toughness, and fatigue testing. Minimum 1 year (Research Engineer) or 3 years (Research Leader) of experience in materials characterization, including light microscopy and scanning electron microscopy. KNOWLEDGE, SKILLS AND COMPETENCIES Strong English communication and presentation skills and the ability to work in a cross-functional team environment are required. Knowledge of safety practices related to the utilization of high pressure and potentially hazardous gases is required. Ability to travel to various company, partner, or customer facilities outside of the work location will be expected and the ability to freely travel between the US and Canada is required. Knowledge of general line pipe and OCTG product standards and specifications (API, CSA, ASTM, NACE, ASME, etc.) is an asset. Knowledge of standards and specifications related to high pressure H2 or CO2 service, such as ASME B31.12 and DNV-RP-F104 is an asset. Knowledge of statistical design and analysis of experiments is an asset. Our total compensation package includes amazing benefits! Competitive wages and bonus opportunities Family medical, dental, and prescription coverage at minimal employee cost Short and long term disability programs Competitive retirement plans Flexible Spending and Health Savings Accounts Employer-provided and Voluntary Life Insurance options Paid vacation and recognized statutory holidays Apprenticeship and career advancement within the company Tuition reimbursement Wellness program While we thank all those who apply, only those being actively considered for employment will be contacted. Equal Opportunity Employer EVRAZ North America is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected Veteran status. EVRAZ North America is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you need special assistance or an accommodation while seeking employment, please e-mail [email protected] or call: (312) 533-3577. We will make a determination on your request for reasonable accommodation on a case-by-case basis. Join a team that manufactures excellence, drives success and builds careers! Company Description At EVRAZ North America, we manufacture engineered steel products for rail, energy and industrial end markets at six production sites located in the USA (Portland, Oregon; Pueblo, Colorado) and Canada (Regina, Saskatchewan; Calgary, Camrose and Red Deer, Alberta). We are the largest North American producer by volume in the rail and large diameter pipe markets, and we hold leading positions in the Western Canada oil country tubular goods, small diameter pipe and West Coast plate markets. EVRAZ offers competitive wages and benefits along with training, apprenticeships and development programs to help you accomplish your professional objectives. We encourage our employees to continue their education by providing tuition reimbursement and training opportunities. And our open door policy fosters a culture of open communication that allows every employee to have a voice in the company. It’s how the best ideas come to light—and why the best people choose to work at EVRAZ. Company Description At EVRAZ North America, we manufacture engineered steel products for rail, energy and industrial end markets at six production sites located in the USA (Portland, Oregon; Pueblo, Colorado) and Canada (Regina, Saskatchewan; Calgary, Camrose and Red Deer, Alberta). We are the largest North American producer by volume in the rail and large diameter pipe markets, and we hold leading positions in the Western Canada oil country tubular goods, small diameter pipe and West Coast plate markets.\r\n\r\nEVRAZ offers competitive wages and benefits along with training, apprenticeships and development programs to help you accomplish your professional objectives. We encourage our employees to continue their education by providing tuition reimbursement and training opportunities. And our open door policy fosters a culture of open communication that allows every employee to have a voice in the company. It’s how the best ideas come to light—and why the best people choose to work at EVRAZ.

Quick Apply

Sr Electrical Engineer (PE)

Liberty Personnel Services, Inc Columbus, OH

Job Description Job Description SENIOR ELECTRICAL ENGINEER (PE) Elevate your career as a Senior Electrical Engineer / Project Manager in a dynamic, employee-centric environment. Enjoy the best of both worlds with a hybrid work schedule where you will have the opportunity to participate in a diverse portfolio of exciting projects. **Key Responsibilities:** - Lead client relations, manage projects, and ensure smooth coordination with internal and contractor teams. - Engage in engineering design and execution, focusing on power distribution and medium voltage systems. - Develop proposals and fees, manage project portfolios, and produce top-quality engineering designs. - Provide on-the-job training to support junior engineers and certify project work with professional integrity. **Qualifications:** - 10+ years of electrical engineering experience in a similar consulting environment - Strong understanding of industry standards, regulations, and codes. - BSEE - PE license is REQUIRED FOR THIS ROLE - Expertise in AutoCAD, Revit, and MS Office. - Strong collaboration skills OFFERED! - Great work-life balance - Competitive compensation and benefits - Awesome opportunities for career advancement and professional development/company ownership Please add me on LinkedIn! I look forward to connecting with you! Noelene Jones www.libertyjobs.com http://www.linkedin.com/pub/noelene -jones/67/8b9/33b All communications are 100% confidential. Keywords: Senior Electrical Engineer, Electrical Engineering, Power Distribution, Medium Voltage System, Hybrid Work, Project Management, AutoCAD, Revit. Company Description Established in 2003, Liberty Personnel quickly grew into one of the largest technical recruiting agencies on the East Coast. Today, Liberty Personnel has a national presence and a diverse client base. Listed below are a number of the industries and openings we work on: Information Technology, Software Programmers, Engineering, Manufacturing, Plant Maintenance, Construction, Oil and Gas, Medical Communications, Accounting, Finance, Electronics, Scientific, Medical Device, Sales, Pharmaceutical, Admin, Automation, Controls, Civil, HVAC, Wastewater, Structural, Electrical, Chemists, Validations, Logistics, Food Production, Renewable Energy and Machinists Company Description Established in 2003, Liberty Personnel quickly grew into one of the largest technical recruiting agencies on the East Coast. Today, Liberty Personnel has a national presence and a diverse client base. Listed below are a number of the industries and openings we work on:\r\n\r\nInformation Technology, Software Programmers, Engineering, Manufacturing, Plant Maintenance, Construction, Oil and Gas, Medical Communications, Accounting, Finance, Electronics, Scientific, Medical Device, Sales, Pharmaceutical, Admin, Automation, Controls, Civil, HVAC, Wastewater, Structural, Electrical, Chemists, Validations, Logistics, Food Production, Renewable Energy and Machinists

Big Data Engineer

TEKsystems Columbus, OH

Job Description Job Description TEKsystems just received a new position supporting a huge initiative for a Major Technology Company on their Enterprise applications, headquartered in Columbus, OH. Our Client is seeking Big Data Engineers to come in and support multiple different lines of Data to help drive innovation and revenue. They are are in the process of doing a huge Modernization from their current Ab Initio platform towards Spark and Scala to create a more modern Cloud Friendly environment. You would be apart of their Data Ecosystem Team to create innovative technical solutions, and new high quality software. Top Skills: - Spark/Scala-required - SQL-required - Kafka - Kubernetes/docker - Unix - Mainframe - Security **This is a Long-term stable opportunity. Position will be 100% remote, but will be expected to go onsite in the future **

Electrical Engineer 20695

General Employment Columbus, OH

Job Description Job Description Are you a skilled Electrical Engineer with a strong commitment to safety and expertise in electrical and electronic systems? Join a dynamic team where your knowledge of OSHA policies and programs will play a critical role in maintaining operational excellence. Position Highlights Schedule: Off-shift or weekend shift; daily and weekend overtime required. Benefits: Comprehensive benefits package provided. Key Responsibilities Maintain and troubleshoot electrical and electronic equipment, including PCs/PLCs, variable frequency drives, and process control loops. Apply knowledge of OSHA 29CFR 1910 General Industry Safety Standards, including Lock Out/Tag Out, Confined Space, Fall Protection, and Hot Work Practices. Ensure safe work practices with adherence to NFPA 70E standards and proper use of PPE. Qualifications Experience: 3–5 years of verified electrical engineering experience required. Education: High school diploma or equivalent. Strong understanding of OSHA safety standards and programs. Ability to pass pre-interview screening and skills assessments. What We’re Looking For The ideal candidate thrives in a fast-paced industrial environment, excels in electrical and electronic troubleshooting, and is committed to upholding safety standards. A demonstrated safe work ethic is a must. Take the next step in your career and apply your expertise to a rewarding position with growth potential. Apply today through GEE Group and become a valued member of our client's team!