onsite
AI Platform Engineer - Hensoldt
Devops Engineer
Design, develop, and operate scalable AI platforms using Python, TensorFlow, and cloud-native technologies such as Kubernetes, Docker, and AWS, while ensuring robust CI/CD pipelines and high availability.
About the role
Key Responsibilities
- Architect and implement end‑to‑end AI/ML pipelines on cloud infrastructure, ensuring scalability and reliability.
- Develop and maintain containerized services using Docker and orchestrate them with Kubernetes.
- Build and optimize CI/CD workflows for model training, validation, and deployment.
- Collaborate with data scientists and software engineers to integrate machine‑learning models into production systems.
- Monitor platform performance, troubleshoot issues, and continuously improve system robustness and security.
Requirements
- Strong proficiency in Python and experience with TensorFlow or PyTorch.
- Hands‑on experience with Kubernetes, Docker, and cloud platforms (AWS preferred).
- Solid understanding of CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions) and infrastructure‑as‑code.
- Familiarity with ML lifecycle management, model versioning, and monitoring.
- Ability to work autonomously in a fast‑paced, collaborative environment.
Skills
pythontensorflowkubernetesdockerawscicd