Assignment Description:
We are looking for a Senior Data Engineer – MLOps Focus to join our dynamic team.
What you will work on:
- Develop and enhance a platform supporting AI needs, including model registry, model traceability, and data traceability.
- Collect, structure, and store data for AI and analytics use cases.
- Collaborate closely with IT and OT teams to design hosting and infrastructure solutions.
- Participate in technical decision-making across both Data Engineering and AI domains.
- Drive initiatives from concept to implementation and contribute your own ideas to shape the AI platform.
- Support related projects in automation and digitalisation within the department.
What you bring:
- 3–5 years of experience as a Data Engineer with interest or competence in MLOps.
- Strong skills in Python, including experience with FastAPI, async programming, and Data Science packages (Torch, scikit-learn, NumPy).
- Basic knowledge of Docker and container technologies.
- Basic understanding of React and frontend integration.
- Experience working with databases (preferably PostgreSQL), including both usage and schema design.
- Knowledge of, or interest in, MLFlow and experiment tracking.
- Basic skills in bash/shell scripting.
- Ability and willingness to work across multiple domains (infrastructure, backend, frontend).
- Curious, solution-oriented mindset with the ability to build solutions from the ground up.
- Ability to commute to Trollhättan at least 4 days per week.
- Swedish citizenship, fluent in Swedish and English.
If this sounds interesting, please send your CV to cv@veritaz.se
