
ML OPs Engineer
6 days ago
Hiring for ML Ops Engineer
Experience: 6-9 Years
Notice Period: Immediate to 30 days
CTC: Up to ₹30 LPA
Key Responsibilities
Deploy and Monitor ML Models: Ensure seamless deployment and monitoring of machine learning models in production
CI/CD Pipelines: Build and manage CI/CD pipelines for ML workflows to streamline processes
Model Registries and Feature Stores: Manage model registries and feature stores for efficient model versioning and reuse
System Reliability: Ensure system reliability and automate retraining to minimize downtime
Required Skills
Docker/Kubernetes: Experience with containerization and orchestration tools
GitHub/GitLab CI: Familiarity with version control and continuous integration tools
MLflow: Knowledge of MLflow for managing the end-to-end machine learning lifecycle
Model Deployment: Experience with deploying machine learning models in production environments
How to Apply
If you're interested in this opportunity, please send your CV to
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