onsite
AI Operations & Quality Engineer - Summit
Systems Engineer
Lead AI operations and quality engineering, ensuring robust ML model deployment, monitoring, and continuous improvement using Python, AWS, Docker, and Kubernetes.
About the role
Key Responsibilities
- Design, implement, and maintain end‑to‑end ML pipelines for production models.
- Develop and enforce quality standards, automated tests, and monitoring for AI services.
- Collaborate with data scientists and DevOps to deploy models on AWS using Docker and Kubernetes.
- Analyze model performance, troubleshoot issues, and recommend improvements.
- Document processes, create runbooks, and train teams on best practices.
Requirements
- 3+ years of experience in AI/ML operations or quality engineering.
- Strong proficiency in Python and experience with ML frameworks (TensorFlow, PyTorch).
- Hands‑on experience with AWS services (SageMaker, ECS, EKS) and container orchestration.
- Solid understanding of CI/CD pipelines, automated testing, and monitoring tools.
- Excellent problem‑solving skills and a collaborative mindset.
Skills
pythonmachine learningawsdockerkubernetes