onsite
Senior AI Engineer - EDEKA IT
AI Engineer
Lead the design and deployment of AI solutions across enterprise systems, leveraging Python, TensorFlow, and cloud-native tools like AWS and Kubernetes to deliver scalable, production-ready models.
About the role
Key Responsibilities
- Architect, develop, and maintain end‑to‑end AI pipelines from data ingestion to model deployment.
- Collaborate with data scientists and system engineers to translate research prototypes into production‑grade services.
- Implement CI/CD workflows for ML models using Kubernetes, Docker, and GitOps practices.
- Optimize model performance and resource utilization on AWS infrastructure (SageMaker, ECS, EKS).
- Ensure robust monitoring, logging, and automated retraining mechanisms for deployed models.
Requirements
- 5+ years of professional experience in AI/ML engineering.
- Strong proficiency in Python and deep learning frameworks (TensorFlow, PyTorch).
- Hands‑on experience with cloud services (AWS) and container orchestration (Kubernetes).
- Solid understanding of data engineering concepts and experience with data pipelines.
- Excellent problem‑solving skills and a proactive, collaborative mindset.
Skills
pythonmachine learningtensorflowawskubernetes