ML Engineer

Location:

About NavGurukul

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

• 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.
• 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.
• 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.
• You will create efficient 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.
• You will mentor junior engineers, guide them in efficient experimentation, lightweight model design, and rapid prototyping, and ensure production-ready, well-tested code with typing, pytest, packaging, and thorough documentation..

What We’re Looking For.

• Expert-level programming in Python with strong foundations in data structures, algorithms, and scalable software design.
• Deep understanding of ML and deep learning algorithms — CNNs, RNNs, Transformers, and LLMs — with experience optimizing models for lightweight and client-side applications.
• Hands-on expertise with PyTorch, TensorFlow, and Hugging Face, along with familiarity with ML workflow tools like MLFlow, TFX, and ONNX.
• Proficiency in data preprocessing, feature engineering, model tuning, and designing efficient evaluation benchmarks for edge and mobile deployment.
• A strategic mindset with hands-on execution ability – you can design architecture as well as roll up your sleeves and code.
• A lifelong learner who stays informed about emerging AI research, contributes to open-source projects, and understands their impact on real-world learning systems.

Why Join NavGurukul?

• Real-World Impact

  – Navgurukul’s AI learning labs is on a mission to empower 1Cr underserved students by building pedagogically enabled AI applications. You will join a team of people who intend to build real world impact that can change lives, enhance learning, and optimize social impact systems.

• A Place to Belong

   – A community that cares for your soul, challenges your mind, and strengthens your body. :) A place where you are encouraged to take paid vipassana breaks, Join 26 Paid learning Saturdays, inspire each other to make healthy lifestyle choices and grow with a circle of curious, kind, and passionate people.

• Leadership & Innovation

   – Shape AI/ML strategy, mentor the next generation of engineers, and drive organizational AI adoption.

• Purpose Over Pay

   – As a nonprofit, our salaries are significantly lower than corporate benchmarks (often 60–80% lower for senior members). But what we offer in return is immense purpose, autonomy, and the chance to work with passionate, mission-driven people.

Years of experience:

We are hiring at all levels, from engineers with 2+ years of experience to senior leadership/CTO. What matters most is strong real-world AI/ML experience. If you meet 60 percent of the technical requirements, enjoy learning (Bonus points if you had excellent Math scores :P) we encourage you to apply! :)

If this speaks to you, or someone you know! 

Let's build this future together!<3