Title: ML engineer

Location: Remote first with 30 percent travel. We either spend time on our Campuses or build with the team at our Igatpuri HQ together

About NavGurukul
We dream of a world where every learner has a fair chance to grow. At NavGurukul’s AI learning labs, We are on a mission to impact 1 crore underserved students in the next 1 year. We aim to leverage AI and build meaningful, joyful learning experiences.

If you believe that technology can be a tool for equity, AI can be leveraged to bridge the learning gap, and want your work to directly touch lives — this might be for you : )

In this role, you’ll experiment, architect, and build AI/ML solutions that transform learning experiences at scale, mentor engineers, and shape strategy that drives learning outcomes and equity for all.

What You’ll Be Doing

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You will Experiment, Architect & Build AI solutions for learning at scale, focusing on compact, efficient models optimized for client-side, low-resource applications. You will Design, fine-tune & deploy lightweight LLMs and transformer-based models (DistilBERT,



TinyGPT, instruction-tuned open-source models) for real-world learning applications.

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You will establish AI-driven evaluation and feedback frameworks to measure model performance, optimize resource usage, and enhance learning outcomes. This includes implementing automated benchmarking, A/B testing, and human-in-the-loop feedback for continuous improvement.

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You are committed to a careful, iterative, and data-driven approach — optimizing models for speed, memory footprint, and on-device inference, while ensuring ethical, reliable, and high-quality AI solutions. You also have experience in creating evaluation datasets and metrics for fine-tuned, lightweight models.

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You will create productive prompt and chain flows, build reusable templates, and integrate models with client-side apps, APIs, or edge devices using FastAPI, Flask, or mobile deployment frameworks.

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You will mentor junior engi

📌 ML engineer (India)
🏢 Navgurukul
📍 India