Job Summary

We are seeking a skilled and detail-oriented MLOps Engineer with 3-4 years of experience to drive

the deployment, monitoring, and operational excellence of AI agents and machine learning models

within enterprise environments. The ideal candidate will be responsible for building robust CI/CD

pipelines for AI systems, optimizing GPU workloads, managing hybrid infrastructure (on-premises

and cloud), and ensuring performance, security, and compliance — particularly within a regulated

pharma workplace.

This role requires strong experience in productionizing ML/GenAI solutions and ensuring scalability,

reliability, and compliance of AI systems handling sensitive data.

Key Responsibilities

1. Model & AI Agent Deployment

 Own end-to-end deployment of ML models and AI agents into production environments.

 Manage model versioning, rollback strategies, and lifecycle management.

 Ensure high availability, scalability, and reliability of deployed systems.

2. CI/CD for AI Systems

 Design and implement CI/CD pipelines tailored for ML and GenAI workflows.





 Automate model training, testing, validation, and deployment processes.

 Integrate model testing frameworks, performance checks, and compliance gates into

pipelines.

 Enable seamless integration between development, staging, and production environments.

3. Infrastructure & GPU Optimization

 Manage and optimize GPU-based workloads for model training and inference.

 Monitor and improve compute utilization, cost efficiency, and latency.

 Administer and maintain cloud (AWS/Azure/GCP) and/or on-prem infrastructure

environments.

 Support containerized deployments using Docker and Kubernetes.

4. Performance Monitoring & Observability

 Implement infrastructure and model performance monitoring systems.

 Track system health, latency, throughput, resource utilization, and failure rates.

 Establish alerting, logging, and incident response processes.

 Continuously improve system perfo

📌 Machine Learning Ops Engineer (Mumbai)
🏢 NMS Consultant
📍 Mumbai