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AI Engineer - FERCHAU GmbH Niederlassung Berlin Sud
AI Engineer
AI Engineer responsible for designing, developing, and deploying machine learning models at scale using Python, TensorFlow, and PyTorch, with cloud deployment on AWS and containerization via Docker.
About the role
Key Responsibilities
- Design, implement, and optimize end‑to‑end machine learning pipelines for real‑time and batch inference.
- Collaborate with data scientists to translate research prototypes into production‑ready services.
- Deploy models on AWS infrastructure (SageMaker, ECS, EKS) and manage CI/CD pipelines with Docker and GitOps practices.
- Monitor model performance, conduct drift analysis, and implement automated retraining workflows.
- Document architecture, code, and best practices for internal knowledge sharing.
Requirements
- Strong programming skills in Python and experience with TensorFlow or PyTorch.
- Hands‑on experience deploying ML models on AWS (SageMaker, ECS/EKS).
- Proficiency with Docker, Kubernetes, and CI/CD tooling.
- Solid understanding of data engineering concepts and experience with SQL/NoSQL databases.
- Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.
Skills
pythonmachine learningtensorflowpytorchawsdocker