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Staff MLOps Engineer AI/ML Platform - Cint
MLOps Engineer
Lead the design and scaling of an AI/ML platform, building robust MLOps pipelines with Python, Kubernetes, Docker, and AWS, while ensuring seamless CI/CD and model governance for enterprise-grade deployments.
About the role
Key Responsibilities
- Architect and maintain end‑to‑end MLOps pipelines, from data ingestion to model deployment, using Python, Kubernetes, and Docker.
- Implement CI/CD workflows for ML models, ensuring rapid, reliable releases to production environments on AWS.
- Collaborate with data scientists and product teams to translate research prototypes into scalable, production‑ready services.
- Design and enforce model governance, monitoring, and rollback strategies to maintain high reliability and compliance.
- Mentor junior engineers and drive best‑practice adoption across the engineering organization.
Requirements
- 5+ years of experience in MLOps or related roles, with a strong background in Python and cloud infrastructure.
- Proficiency with Kubernetes, Docker, and AWS services (EKS, S3, SageMaker, Lambda).
- Hands‑on experience building CI/CD pipelines for ML workflows (GitHub Actions, Jenkins, ArgoCD).
- Deep understanding of model monitoring, versioning, and governance frameworks.
- Excellent communication skills and a collaborative mindset.
Skills
pythonmachine learningmlopskubernetesdockerawscicd