onsite
AI / ML Platform Engineer - GUS ERP
Devops Engineer
Design and maintain scalable AI/ML infrastructure on AWS, leveraging Python, Kubernetes, and Docker to deliver robust, production‑ready models and pipelines.
About the role
Key Responsibilities
- Architect, build, and operate end‑to‑end ML pipelines on AWS, ensuring high availability and scalability.
- Develop and maintain containerized services with Docker and orchestrate them using Kubernetes.
- Implement CI/CD workflows for model training, testing, and deployment, integrating with Git, Jenkins, or GitHub Actions.
- Collaborate with data scientists to translate research prototypes into production‑grade solutions.
- Monitor model performance, troubleshoot issues, and optimize resource utilization.
Requirements
- Proven experience with Python and ML frameworks (TensorFlow, PyTorch, scikit‑learn).
- Hands‑on expertise in AWS services (SageMaker, ECS/EKS, S3, Lambda).
- Strong knowledge of containerization (Docker) and orchestration (Kubernetes).
- Experience designing CI/CD pipelines for ML workflows.
- Excellent problem‑solving skills and ability to work in a fast‑paced environment.
Skills
pythonmachine learningawskubernetesdockercicd