onsite
Senior AI Engineer, Python - Logistics, Data & ML - Delivery Hero SE
AI Engineer
Lead end‑to‑end AI solutions for logistics, building scalable ML pipelines in Python on AWS, and driving data‑driven decision making for supply chain optimization.
About the role
Key Responsibilities
- Design, develop, and deploy production‑grade machine learning models for logistics optimization using Python and frameworks such as PyTorch or TensorFlow.
- Build and maintain end‑to‑end data pipelines on AWS (S3, Glue, Redshift, SageMaker) to ingest, transform, and serve large volumes of operational data.
- Collaborate with data scientists, product managers, and software engineers to translate business requirements into technical solutions and iterate on model performance.
- Implement CI/CD workflows with Docker, GitHub Actions, and AWS CodePipeline to ensure rapid, reliable model releases.
- Monitor model drift, performance, and operational health; develop automated alerting and retraining strategies.
Requirements
- 5+ years of experience in AI/ML engineering, with a strong focus on Python and production deployments.
- Proven track record building scalable data pipelines and deploying models on AWS.
- Deep knowledge of machine learning algorithms, feature engineering, and model evaluation.
- Experience with containerization (Docker) and CI/CD practices.
- Excellent communication skills and ability to work cross‑functionally in a fast‑paced environment.
Skills
pythonmachine learningawsdocker