Principal MLOps Engineer
Location: Remote
Working Hours: 2:00 PM–10:00 PM IST
Employment Type: Contract or Full-Time

Role Overview
We are seeking a Principal MLOps Engineer to architect and build a next-generation enterprise Machine Learning Operations platform. This role will focus on developing secure, scalable, and automated ML infrastructure using AWS and Amazon SageMaker.
You will enable data science and engineering teams to train, deploy, monitor, and scale machine learning models across batch and real-time environments. The ideal candidate will have solid experience in cloud infrastructure, CI/CD automation, observability, infrastructure as code, and production-grade ML systems.

Key Responsibilities
MLOps Platform Architecture
Architect and build scalable MLOps infrastructure using AWS and Amazon SageMaker.
Support both real-time model hosting and batch transformation workloads.
Implement multi-model endpoints and auto-scaling strategies to optimize performance, resource utilization, and cloud costs.
Design secure AWS environments using VPC, PrivateLink, IAM roles,



security controls, and KMS encryption.
Develop reusable infrastructure patterns, deployment blueprints, and containerized components for standardized model promotion across environments.

CI/CD and Pipeline Automation
Build and maintain automated pipelines for model training, testing, validation, and deployment.
Develop Infrastructure as Code solutions using Terraform.
Design and manage multi-stage Azure DevOps pipelines with approval gates for controlled model promotion.
Integrate model registries to support model versioning, reproducibility, governance, and approval workflows.
Diagnose and resolve issues related to training jobs, model deployments, pipeline execution, and registry updates.
Automate the promotion of models across development, staging, and production environments.

Monitoring, Observability, and Governance
Implement data quality and model drift monitoring using Amazon SageMaker

📌 Principal MLOps Engineer (India)
🏢 NRM Analytix
📍 India