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MLOps Engineer - 2K Games
MLOps Engineer
Lead end‑to‑end MLOps engineering, building scalable pipelines with Python, Docker, Kubernetes, and AWS, while integrating CI/CD and MLflow for model lifecycle management.
About the role
Key Responsibilities
- Design, develop, and maintain production‑grade ML pipelines using Python, Docker, and Kubernetes.
- Implement CI/CD workflows for model training, testing, and deployment on AWS.
- Integrate MLflow for experiment tracking, model registry, and reproducibility.
- Collaborate with data scientists to translate research models into scalable services.
- Monitor model performance, troubleshoot issues, and optimize resource utilization.
Requirements
- 3+ years of MLOps or DevOps experience in a production environment.
- Hands‑on experience with CI/CD tools (GitHub Actions, Jenkins, ArgoCD) and MLflow.
- Strong understanding of model versioning, monitoring, and rollback strategies.
- Excellent problem‑solving skills and ability to work cross‑functionally with data science teams.
Skills
mlopspythondockerkubernetesawscicdmlflow