Senior MLOps Engineer
Position: Senior MLOps Engineer
Location: Jaipur
Work Mode: On-site
Experience: 7+ Years
Key Responsibilities
- Build and manage end-to-end ML pipelines.
- Deploy ML models using CI/CD pipelines.
- Develop scalable MLOps infrastructure on AWS, Azure, or GCP.
- Automate model training, testing, versioning, and deployment.
- Monitor model performance, drift, and data quality.
- Collaborate with Data Science and Engineering teams.
- Manage Docker and Kubernetes-based deployments.
- Optimize and troubleshoot production ML systems.
Required Skills
- 7+ years of experience in MLOps/ML Engineering/DevOps.
- Strong Python programming skills.
- Experience with TensorFlow, PyTorch, or Scikit-learn.
- Hands-on experience with Docker and Kubernetes.
- Experience with AWS, Azure, or GCP.
- Knowledge of CI/CD tools (GitHub Actions, GitLab CI, Jenkins, Azure DevOps).
- Experience with MLflow, Kubeflow, or Weights & Biases.
- Familiarity with ETL pipelines, APIs, Prometheus, Grafana, and ELK.
- Strong understanding of software engineering and system design.