ML Engineer — YONO AI

About this ML Engineer role at State Bank of India (SBI)

SBI's YONO digital banking platform is hiring ML Engineers on a direct-apply contract basis — no exam required. This is a mid-level position in Mumbai for engineers ready to build production ML systems at India's largest bank. You'll work on real-world problems affecting millions of banking customers, with a competitive salary and a focus on fraud detection and recommendation engines that power YONO's AI capabilities.

What you'll do

• Design, train, and deploy recommendation systems and fraud detection models using PyTorch and TensorFlow on banking transaction data.
• Develop MLOps pipelines to monitor, test, and iterate on production ML models in a high-scale banking environment.
• Analyze banking data patterns — transaction histories, user behavior, anomalies — to extract features and validate model performance.
• Collaborate with SBI's Technology Innovation Cell to productionize machine learning solutions for the YONO platform.
• Maintain and improve existing models, ensuring low latency and high accuracy for real-time banking fraud prevention and personalization.

Who should apply

You should have 3–6 years of hands-on production ML experience. A B.Tech or M.Tech degree is required. Solid proficiency in Python, PyTorch, and TensorFlow is essential. Familiarity with banking or financial data is a strong advantage. This is a mid-level role — if you've shipped ML models to users before, you're ready to apply.

Salary & offer in context

SBI offers ₹1,40,000–₹2,00,000 per month for this role. For a mid-level ML Engineer salary in India, this falls in the competitive range for government PSB positions and is notably generous compared to many private startups. Add the stability of a State Bank contract and this is a strong offer for engineers focused on ML in banking.

Path to apply

This is a direct-application role — no IBPS exam or complex entrance process. Apply through SBI's online careers portal at sbi.co.in/web/careers/current-openings. The application deadline is June 8, 2026, so act soon. It's a 2-year renewable contract, giving you time to impact a national-scale banking AI platform.