Machine Learning Platform Engineer
Visa Sponsorship
Relocation
Job Description
You'll be focused in
Our AI Center of Excellence (CoE) is dedicated to empowering and advancing AI technology within the organization. Our mission is to drive AI innovation and adoption, ensuring our organization stays at the forefront of technological advancements.
Company Benefits
Technology-driven trends such as diverse mobility, electrification and connectivity will revolutionize the mobility industry in the next decade. Volkswagen Group, as world leader in the automotive industry, is setting the pace for this revolution.
At Volkswagen Digital Solutions (VWDS) we are the go-to team to tackle complex systems and programming challenges. We make sure that our products flow smoothly in all stages of the digital value chain.
Our main areas of focus: vehicle software & operations, mobile online services, IT security, fleet management, sales & after sales, purchasing & logistics and product portfolio management.
Ready to #ExploreNewRoads? Join us! 🚗
- Developing, maintaining, and enhancing robust and scalable frameworks for AI/ML model development and deployment while establishing and driving best practices in machine learning engineering and MLOps
- Ensuring the ML platform adheres to high standards of data governance, security, and privacy, in alignment with industry regulations and company policies.
- Collaborating closely with ML Engineers, Data Scientists, and Product Managers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process
- Leading the selection, deployment, and management of ML tools and frameworks to facilitate efficient model development, testing, and production deployment
- Keeping abreast of the latest ML technologies, tools, and best practices, actively promoting their adoption within the team and the wider organization
- Bachelor's degree in computer science, software engineering, or comparable work experience
- Proven experience working as a Machine Learning Engineer or related role
- Familiarity with modern industry methodologies, standards, and best practices in ML engineering
- Proficiency in Python and experience with common data analytics packages (e.g. Numpy, Pandas, Sklearn, PySpark)
- Experience with Agile Software Development methodologies
- Experience with cloud-based data solutions, preferably AWS ( Glue, Sagemaker, Bedrock), Azure or Google Cloud Platform also considered
- Strong communication and analytical skills
- Great English skills, both written and spoken
Our AI Center of Excellence (CoE) is dedicated to empowering and advancing AI technology within the organization. Our mission is to drive AI innovation and adoption, ensuring our organization stays at the forefront of technological advancements.
Company Benefits
- 1200€ to equip your home office
- 720€ gross/year home allowance
- Performance bonus
- Health insurance extendable to your household
- Wellbeing program extendable to your household
- Life insurance
- Pension fund
- Smartphone & Unlimited phone data plan
- Discounts on VW Group cars and special financing conditions
- Relocation package & Visa process sponsorship (if applicable)
- Tailored remote-friendly setup for every team's vibe!
- Flexible working hours
- Multicultural reality with + 30 different nationalities
- Pet friendly environment
- Boost your career with our internal mobility program, focused on your personal & professional growth
- Mix and mingle across teams for idea-sharing and bonding
Technology-driven trends such as diverse mobility, electrification and connectivity will revolutionize the mobility industry in the next decade. Volkswagen Group, as world leader in the automotive industry, is setting the pace for this revolution.
At Volkswagen Digital Solutions (VWDS) we are the go-to team to tackle complex systems and programming challenges. We make sure that our products flow smoothly in all stages of the digital value chain.
Our main areas of focus: vehicle software & operations, mobile online services, IT security, fleet management, sales & after sales, purchasing & logistics and product portfolio management.
Ready to #ExploreNewRoads? Join us! 🚗