ML Engineer — State Data Platform

About this ML Engineer role at Maharashtra Directorate of IT (MahaIT)

MahaIT is building India's unified state data platform, and they're looking for ML Engineers to power it. This is a direct-apply contract role in Pune—no exam required—where you'll work on real government-scale data infrastructure. If you're a mid-level ML engineer ready to make a tangible impact on Maharashtra's digital backbone, this is a rare opportunity in the public sector.

What you'll do

• Build and optimize machine learning models for the state's unified data platform using Python and scikit-learn.
• Develop deep learning solutions using modern frameworks (TensorFlow, PyTorch) to process and analyze large government datasets.
• Design and implement MLOps pipelines to ensure models are reproducible, scalable, and ready for production.
• Deploy and manage ML systems on AWS cloud infrastructure, following best practices for state-level data security and compliance.
• Collaborate with data engineers and stakeholders to translate business requirements into robust ML solutions.

Who should apply

You need a B.Tech degree and 3–7 years of hands-on ML experience. This is a mid-level role, so you should be comfortable moving beyond tutorials into real-world model building, troubleshooting, and deployment. Strong Python skills are non-negotiable. If you've worked with scikit-learn, deep learning frameworks, MLOps tools, and AWS, you're well-positioned. No prior government sector experience required—just solid technical fundamentals.

Salary & offer in context

MahaIT is offering ₹90,000–₹1,30,000 per month for this 2-year contract role. This sits comfortably in the mid-to-senior range for ML Engineer salaries in India, especially for Pune-based positions. Government sector compensation is often underestimated; this package reflects the skills and responsibility level expected.

Path to apply

This is a direct-application role—no exam, no competitive screening. Head to mahait.org/careers and submit your application through their online portal. The deadline is June 8, 2026, so don't delay. Once you apply, expect a straightforward interview process to assess your ML fundamentals, project experience, and cloud deployment knowledge.