Machine Learning Data Engineer - Apex Systems : Job Details

BNSF Railways' Network Strategy and Innovation team develops strategic initiatives and innovative solutions to enhance network efficiency and sustainability. This team focuses on optimizing 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 BNSF's 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.

• Design, develop, and deploy scalable data pipelines and machine learning models. The role requires expertise in Python and SQL, with a preference for experience in PySpark and Databricks. Responsible for integrating machine learning models into production environments, ensuring reliability and scalability.
• Build and maintain robust data pipelines for ingesting, transforming, and storing large datasets.
• Develop backend infrastructure to support machine learning models and AI solutions.
• Implement and automate machine learning model pipelines, ensuring seamless deployment and monitoring.
• Collaborate with data scientists to optimize models for performance and scalability.

• Strong proficiency in Python and SQL, with experience in building data pipelines and deploying machine learning models.
• Advanced analytical skills and the ability to conduct complex analyses independently.
• Excellent interpersonal and communication skills, both verbal and written.
• Ability to manage multiple projects and deadlines simultaneously.
• Proficiency in data visualization tools such as Tableau or Power BI.
• Experience with machine learning frameworks and tools (e.g., TensorFlow, PyTorch).

• Bachelor's and/or Master's degree in analytics, computer science, or a related field.
• 3+ years of experience in ML/Optimization.
• Demonstrated experience with machine learning lifecycle management and operationalization.
• Knowledge of deep learning model building and implementation.
• Experience with cloud platforms (AWS, Azure, GCP) 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 serving thousands of clients globally. Joining Apex means becoming part of a team that values innovation, collaboration, and continuous learning. We offer comprehensive career resources, training, certifications, development opportunities, and benefits. Our commitment to excellence has earned us awards such as ClearlyRated's Best of Staffing in Talent Satisfaction and Great Place to Work in the UK and Mexico.

Apex Benefits Overview: Apex provides a range of benefits including medical, dental, vision, life, disability insurance, an Employee Stock Purchase Program (ESPP), 401(k), HSA, Employee Assistance Program (EAP), discounts, and professional development resources. We support your growth with on-demand training, certification prep, courses, and seminars. Our dedicated team and certified Career Coach are here to support your benefits and career development. Details are available in our ‘Welcome Packet' provided by an Apex team member.