onsite
AI & Automation Engineer - Seifert Logistics GmbH
QA Engineer
Lead the design and deployment of AI-driven automation solutions, leveraging Python, machine learning, and cloud services to streamline logistics operations and enhance efficiency.
About the role
Key Responsibilities
- Design, develop, and maintain AI models and automation workflows to optimize logistics processes.
- Implement end‑to‑end solutions using Python, TensorFlow/PyTorch, and cloud platforms such as AWS.
- Containerize applications with Docker and orchestrate deployments via CI/CD pipelines.
- Collaborate with data engineers to ingest, clean, and transform operational data for model training.
- Monitor model performance, troubleshoot issues, and iterate for continuous improvement.
Requirements
- Strong programming skills in Python and experience with machine learning libraries.
- Hands‑on experience with AWS services (SageMaker, Lambda, S3, EC2).
- Proficiency in containerization (Docker) and CI/CD tooling (GitHub Actions, Jenkins).
- Solid understanding of data pipelines, ETL processes, and relational databases.
- Excellent problem‑solving skills and ability to work collaboratively in a fast‑paced environment.
Skills
pythonmachine learningawsdockercicd