Senior ML/Ops Engineer
MLOps (Machine Learning Operations)
6–8 years
PAN India
Full-time | ML/Ops | Hybrid/On-site
Immediate – 15 Days
Design, build, and manage scalable ML pipelines for production workloads.
Automate deployment processes to ensure consistency and repeatability.
Monitor system health by setting up dashboards, metrics, and alerts.
Optimize performance, reliability, and scalability of ML models in production.
Work with AI/ML frameworks like PyTorch, TensorFlow, and Onnx.
Collaborate with data scientists and engineers to streamline model lifecycle management.
Implement CI/CD pipelines for ML models and data workflows.
Manage containerized deployments using Docker and Kubernetes.
Leverage cloud platforms (AWS, Azure, GCP) with preference for Azure ML.
Develop automation scripts for infrastructure provisioning and configuration.
Troubleshoot production issues and ensure business continuity.
Contribute to best practices in MLOps, monitoring, and logging frameworks.
Stay updated with emerging tools and practices in AI/ML and cloud infrastructure.
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