Graduate Analyst in Data & Machine Learning Operations for Volkswagen Financial Services, focusing on machine learning, data integration, and business intelligence projects.
About the role
- ML Ops Engineer supporting the ML Ops team on the strategy and implementation of machine learning capabilities. Delivering tasks related to development, deployment, and performance optimization.
Responsibilities
- Delivering specific ML Ops engineering tasks such as moderate to complex level designing, developing, implementing, optimizing, and maintaining models, systems, and applications using existing and emerging technology platforms.
- Collaborating with cross-functional architecture teams to define and integrate frameworks and roadmaps for machine learning solutions, projects are generally of moderate complexity.
- Consulting on the design, development, and implementation of DevOps and ML Ops pipelines. May lead portions of deployment processes under guidance from people leader. Reviews, verifies, validates, and troubleshoots code to ensure high availability and high performance of machine learning models and applications.
- Using complex knowledge and understanding of code management principles and best practices to follow architectural and governance guidelines.
- Effectively communicating and applying machine learning engineering value, concepts, and strategies across multiple scenarios.
Requirements
- 3-6 years of experience in a similar role
- Bachelor's degree in management information systems, computer science or similar
- Insurance Experience (Desirable)
- Fluency in English
- **Technical & Business Skills**
- AWS (MUST)
- MLOps Experience (Understanding models, architecture) (MUST)
- Python (MUST)
- SQL (MUST)
- DataBricks (Very Desirable)
- Snowflake (Desirable)
- Jenkins (Desirable)
- ETL Pipelines – Understanding
- Independent work, self driven
Benefits
- This position comes with a competitive compensation and benefits package.
- A competitive salary and performance-based bonuses.
- Comprehensive benefits package.
- Flexible work arrangements (remote and/or office-based).
- You will also enjoy a dynamic and inclusive work culture within a globally renowned group.
- Private Health Insurance.
- Paid Time Off.
- Training & Development opportunities in partnership with renowned companies
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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