onsite
AI & Data Operations Engineer - Dr. Dienst & Partner
Systems Engineer
Lead end‑to‑end AI and data pipelines, building scalable, production‑ready solutions on AWS. Drive model deployment, monitoring, and data quality while collaborating with data scientists and DevOps teams.
About the role
Key Responsibilities
- Design, develop, and maintain robust data pipelines and ML model deployment workflows on AWS.
- Implement CI/CD pipelines using Docker and Kubernetes to ensure rapid, reliable releases.
- Monitor model performance, data drift, and system health, applying automated alerts and remediation.
- Collaborate with data scientists to translate research prototypes into production‑grade services.
- Optimize data storage and processing using SQL and scalable cloud services.
Requirements
- Proven experience with Python, SQL, and AWS services (S3, Lambda, SageMaker, Glue).
- Hands‑on knowledge of containerization (Docker) and orchestration (Kubernetes).
- Strong understanding of ML Ops principles, model versioning, and monitoring.
- Experience with CI/CD tools (GitHub Actions, Jenkins, or similar).
- Excellent problem‑solving skills and ability to work cross‑functionally in a fast‑paced environment.
Skills
pythonsqlawsdockerkubernetes