ABOUS US -

Nomiso builds AI-powered products solving real enterprise problems — personalization, predictive operations, and intelligent automation. You will design and build ML pipelines, integrate real-time data streams via Kafka, and work with the Applied AI/ML Lead and Data Engineering team. You own features end-to-end from clustering and segmentation through to recommendations and predictive analytics — accountable for what they do in production, not just in testing.

WHO WE WANT -
Someone who has genuinely built and shipped AI/ML models into production — not in a notebook, but in a live environment where customers depend on them. Who has felt the pain of a recommendation engine failing at scale, a pipeline silently breaking at 2am, or a model drifting post-deployment with no one noticing. Someone who closes the gap between data science and production and owns what the model does in the real world, not just in a test environment.

WHERE DO YOU COME FROM -
IIT / NIT / BITS or equivalent, class of 2015 or later. 5+ years overall,



3+ in building and deploying AI/ML models for production. You have owned the full lifecycle: data pipelines, feature engineering, training, validation, deployment, and production monitoring. Proficient in TensorFlow, PyTorch, scikit-learn, and Python. You know what real ML infrastructure looks like — not just notebooks.

WHERE DO WE LOOK -
companies where AI/ML runs in production and is business-critical — not a quarterly roadmap slide. Freshworks, Razorpay, Swiggy, Zomato, PhonePe, Meesho, Flipkart, Postman, BrowserStack, Sarvam AI, Krutrim, Sigmoid, ThoughtWorks — or reliable applied ML teams inside MNCs where models ship and engineers are held accountable for production outcomes, not just experiment metrics.

WHAT KIND OF PERSON -
obsessed with outcomes, not experiments. Knows that an 85% accurate model in production is worth infinitely more than a 96% accurate model still in a Jupyter notebook. Works closely with data engineers, produ

📌 Senior AI/ML Engineer (Hyderabad)
🏢 Nomiso
📍 Hyderabad