onsite
AI Engineer - Vollblutwerber GmbH
AI Engineer
Lead end‑to‑end AI projects, building scalable ML pipelines on AWS, deploying models with Docker and Kubernetes, and collaborating with cross‑functional teams to deliver data‑driven solutions.
About the role
Key Responsibilities
- Design, develop, and deploy production‑ready machine learning models using Python and PyTorch/TensorFlow.
- Build and maintain scalable data pipelines on AWS (S3, Glue, SageMaker, Lambda).
- Containerize services with Docker and orchestrate with Kubernetes for high availability.
- Collaborate with data scientists, product managers, and DevOps to translate business requirements into technical solutions.
- Monitor model performance, implement A/B testing, and iterate on model improvements.
Requirements
- 3+ years of experience in AI/ML engineering.
- Strong proficiency in Python and experience with ML frameworks.
- Hands‑on knowledge of AWS services and cloud architecture.
- Experience with containerization (Docker) and orchestration (Kubernetes).
- Excellent problem‑solving skills and a collaborative mindset.
Skills
pythonmachine learningawspytorchdockerkubernetes