remote
MLOps Engineer - Ruhumi Technologies
MLOps Engineer
Senior MLOps Engineer responsible for building, deploying, and maintaining scalable machine learning pipelines using Python, Docker, Kubernetes, and AWS, while ensuring robust CI/CD workflows and model monitoring with MLflow.
About the role
Key Responsibilities
- Design, develop, and maintain end‑to‑end ML pipelines from data ingestion to model deployment.
- Containerize models and services using Docker, orchestrate with Kubernetes, and manage scaling on AWS.
- Implement CI/CD pipelines for automated testing, validation, and continuous delivery of ML artifacts.
- Integrate MLflow for experiment tracking, model registry, and lifecycle management.
- Collaborate with data scientists, DevOps, and product teams to ensure seamless model rollouts and monitoring.
Requirements
- 8+ years of professional experience in MLOps or related fields.
- Proficiency in Python, Docker, Kubernetes, and AWS services (EKS, S3, SageMaker).
- Hands‑on experience with CI/CD tools (GitHub Actions, Jenkins, ArgoCD) and MLflow.
- Strong understanding of model monitoring, logging, and alerting best practices.
- Excellent communication skills and ability to work in a fast‑paced, remote environment.
Skills
pythondockerkubernetesawscicdmlflow