Senior ML Engineer responsible for designing scalable AI/ML infrastructure at General Motors. Collaborating with teams on advanced AI solutions for intelligent driving technologies.
About the role
- Graduate Analyst in Data & Machine Learning Operations for Volkswagen Financial Services, focusing on machine learning, data integration, and business intelligence projects.
Responsibilities
- Support end-to-end deployment and maintenance of machine learning models.
- Monitor and maintain model performance to ensure consistent output and reliability.
- Maintain and optimize cloud-based data pipelines to support ML operations.
- Collaborate with data scientists and engineers to enhance automation and model efficiency.
- Implement best practices in MLOps, including version control, testing, and observability.
- Document processes and create reports on ML performance metrics and insights.
- Design, develop, and deploy data integration solutions based on business requirements.
- Troubleshoot and resolve production issues in a timely and efficient manner.
- Implement and maintain data quality processes for warehouse systems.
- Participate in code reviews and collaborate on data integration best practices.
- Build prototypes and proof-of-concept solutions for new data initiatives.
- Evaluate and refine leading-edge tools and technologies to enhance data integration performance.
- Educate end users on metadata and data lineage to improve data transparency.
- Utilize BI tools such as Business Objects, Tableau, and SAS to extract and manage data from enterprise systems.
- Develop and maintain BI products, including dashboards, reports, and data universes.
- Administer BI platforms and support software upgrades and performance tuning.
- Apply advanced SQL skills and understand data warehouse modeling (fact/dimension structures).
- Partner with business stakeholders to deliver data consultation and ad hoc reporting.
- Provide training and documentation to enhance data literacy across teams.
Requirements
- Proficiency in Microsoft Office (Excel, PowerPoint, Word)
- Analytical problem-solving and critical thinking
- Ability to communicate technical concepts to non-technical stakeholders
- Strong attention to detail and commitment to data accuracy
- Collaboration and teamwork across technical and business teams
Benefits
- Health insurance
- 401(k) matching
- Flexible working hours
- Paid time off
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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