What are the responsibilities and job description for the Machine Learning Data Engineer position at Apex Systems?
Job Details
Job#: 2069713
Job Description:
BNSF Railways Network Strategy and Innovation team develops strategic initiatives and innovative solutions to enhance network efficiency and sustainability. This team optimizes railway infrastructure and operations by analyzing market trends, customer needs, and technological advancements. Their work includes adopting advanced technologies, improving operational efficiency, and exploring sustainable practices.
The Mgr/Sr Mgr Ops Measures plays a critical role in building and maintaining the data infrastructure and pipelines necessary to support BNSFs Network Strategy, Design, and Innovation department. This position involves leveraging machine learning techniques to enhance data-driven decision-making and optimize operations within rail systems.
Responsibilities:
Designing, developing, and deploying scalable data pipelines and machine learning models. The role requires expertise in Python and SQL, with a preference for experience in PySpark and Databricks. The role will also be responsible for integrating machine learning models into production environments, ensuring reliability and scalability.
Data Infrastructure & Pipeline Development:
Build and maintain robust data pipelines for ingesting, transforming, and storing large datasets.
Develop backend infrastructure to support machine learning models and AI solutions.
Machine Learning Model Deployment:
Implement and automate machine learning model pipelines, ensuring seamless deployment and monitoring.
Collaborate with data scientists to optimize models for performance and scalability.
Basic Qualifications:
Strong proficiency in Python and SQL, with experience in building data pipelines and deploying machine learning models.
Advanced analytical skills and the ability to independently conduct complex analyses.
Excellent interpersonal and communication skills, both verbal and written.
Ability to manage multiple projects and deadlines simultaneously.
Proficiency in using data visualization tools such as Tableau or Power BI.
Experience with machine learning frameworks and tools (e.g., TensorFlow, PyTorch).
PREFERRED QUALIFICATIONS:
Bachelor's and/or Masters degree in analytics, computer science, or a related field.
3 years of experience in ML/Optimization
Demonstrated experience with machine learning life cycle management and operationalization.
Knowledge of deep learning model building and implementation.
Experience with cloud platforms (AWS, Azure, Google Cloud Platform) and CI/CD tools (e.g., Jenkins, GitLab CI).
Familiarity with PySpark and experience working with Databricks.
Familiarity with BNSF measurement systems and reports (e.g., DPR, SCORE, Corporate Dashboard).
Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6 months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Apex team member can provide.
Job Description:
BNSF Railways Network Strategy and Innovation team develops strategic initiatives and innovative solutions to enhance network efficiency and sustainability. This team optimizes railway infrastructure and operations by analyzing market trends, customer needs, and technological advancements. Their work includes adopting advanced technologies, improving operational efficiency, and exploring sustainable practices.
The Mgr/Sr Mgr Ops Measures plays a critical role in building and maintaining the data infrastructure and pipelines necessary to support BNSFs Network Strategy, Design, and Innovation department. This position involves leveraging machine learning techniques to enhance data-driven decision-making and optimize operations within rail systems.
Responsibilities:
Designing, developing, and deploying scalable data pipelines and machine learning models. The role requires expertise in Python and SQL, with a preference for experience in PySpark and Databricks. The role will also be responsible for integrating machine learning models into production environments, ensuring reliability and scalability.
Data Infrastructure & Pipeline Development:
Build and maintain robust data pipelines for ingesting, transforming, and storing large datasets.
Develop backend infrastructure to support machine learning models and AI solutions.
Machine Learning Model Deployment:
Implement and automate machine learning model pipelines, ensuring seamless deployment and monitoring.
Collaborate with data scientists to optimize models for performance and scalability.
Basic Qualifications:
Strong proficiency in Python and SQL, with experience in building data pipelines and deploying machine learning models.
Advanced analytical skills and the ability to independently conduct complex analyses.
Excellent interpersonal and communication skills, both verbal and written.
Ability to manage multiple projects and deadlines simultaneously.
Proficiency in using data visualization tools such as Tableau or Power BI.
Experience with machine learning frameworks and tools (e.g., TensorFlow, PyTorch).
PREFERRED QUALIFICATIONS:
Bachelor's and/or Masters degree in analytics, computer science, or a related field.
3 years of experience in ML/Optimization
Demonstrated experience with machine learning life cycle management and operationalization.
Knowledge of deep learning model building and implementation.
Experience with cloud platforms (AWS, Azure, Google Cloud Platform) and CI/CD tools (e.g., Jenkins, GitLab CI).
Familiarity with PySpark and experience working with Databricks.
Familiarity with BNSF measurement systems and reports (e.g., DPR, SCORE, Corporate Dashboard).
Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6 months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Apex team member can provide.
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