onsite
Cloud AI Architect - KI group GmbH
Software Engineer
Design, implement, and operate AI‑driven data platforms on cloud infrastructure, ensuring scalability, security, and cost efficiency while leading end‑to‑end machine‑learning pipelines in enterprise environments.
About the role
Key Responsibilities
- Architect and build end‑to‑end AI and data platforms on public cloud (AWS, Azure, GCP) with a focus on scalability and reliability.
- Develop, containerize, and deploy machine‑learning models using Python, TensorFlow or PyTorch, orchestrated with Kubernetes and Docker.
- Define and implement CI/CD and MLOps pipelines to automate model training, testing, and production rollout.
- Ensure security, governance, and cost‑optimization throughout the lifecycle of AI services.
- Collaborate with data engineers, product owners, and DevOps teams to translate business requirements into robust technical solutions.
Requirements
- 5+ years of experience designing and operating AI/ML solutions in complex enterprise settings.
- Strong proficiency in Python and major ML frameworks such as TensorFlow or PyTorch.
- Hands‑on experience with cloud platforms (AWS preferred) and container orchestration (Kubernetes, Docker).
- Deep understanding of MLOps practices, CI/CD pipelines, and production monitoring.
- Excellent problem‑solving skills, ownership mindset, and ability to work cross‑functionally.
Skills
pythontensorflowpytorchawskubernetesmlops