onsite
Data & AI Engineer - Wurth Industrie Service GmbH & Co. KG
AI Engineer
Lead end‑to‑end data pipelines and AI solutions using Python, ML, and AWS, while ensuring scalable, containerized deployments with Docker and Kubernetes.
About the role
Key Responsibilities
- Design, develop, and maintain robust data pipelines for large-scale ingestion, transformation, and storage.
- Build and deploy machine learning models, integrating them into production workflows on AWS.
- Collaborate with cross‑functional teams to translate business requirements into technical specifications.
- Implement CI/CD pipelines, containerization (Docker) and orchestration (Kubernetes) for scalable deployments.
- Monitor model performance, troubleshoot issues, and iterate on solutions to improve accuracy and efficiency.
Requirements
- Strong proficiency in Python and experience with ML libraries (scikit‑learn, TensorFlow, PyTorch).
- Hands‑on experience with AWS services (S3, Redshift, SageMaker, Lambda).
- Solid knowledge of SQL and data warehousing concepts.
- Experience with Docker, Kubernetes, and CI/CD tooling.
- Excellent problem‑solving skills and a collaborative mindset.
Skills
pythonmachine learningawssqldockerkubernetes