Senior AI Engineer - EDEKA IT

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.