MLOps Engineer (Contract)

About this MLOps Engineer role at Unique Identification Authority of India (UIDAI)

UIDAI, India's central government agency behind Aadhaar, is hiring MLOps Engineers in Bengaluru to build and maintain production fraud-detection systems that power enrollment and authentication at national scale. As a mid-level MLOps professional, you'll work on infrastructure that touches millions of Indians daily — this is mission-critical government tech. If you're ready to move beyond model training into production reliability, this is your role.

What you'll do

• Design and maintain Kubernetes clusters for production ML pipelines serving Aadhaar fraud-detection workflows
• Build CI/CD pipelines for machine learning models using MLflow and industry best practices
• Set up model monitoring and observability using tools like Prometheus and Evidently AI to catch performance drift in production
• Implement data privacy and security controls in line with government standards and best practices
• Collaborate with data scientists and backend teams to deploy, version, and manage ML models at scale

Who should apply

You need a B.Tech degree and 3–6 years of hands-on MLOps experience. This is a mid-level role, so you should already be comfortable with Kubernetes, CI/CD tools, and have deployed models to production. If you've worked on model monitoring, data governance, or infrastructure-as-code, you're exactly who UIDAI is looking for. No prior experience in government tech or Aadhaar systems required — domain knowledge is secondary to your MLOps fundamentals.

Salary & offer in context

UIDAI is offering ₹1,00,000–₹1,40,000 per month for this contract role. For a mid-level MLOps Engineer in India, this aligns well with the ₹80K–₹1.5L/month range you'd see in private tech hubs like Bengaluru and Delhi. Government sector roles often trade slightly lower base salary for stability and mission impact — and UIDAI's salary is competitive for the sector.

Path to apply

This is a direct-application role — no exam, no lengthy bureaucratic screening. You apply online through UIDAI's careers portal, interview with the hiring team, and if selected, you're in. The application deadline is 30 May 2026, so if you're interested, move fast. This is a 2-year contract position, ideal if you want deep exposure to production ML infrastructure without long-term commitment.