ML engineer

About the role

ML engineer at NavGurukul. Experiment, Architect & Build AI solutions for learning at scale, focusing on compact, efficient models optimized for client-side, low-resource applications.

What you'll do

• Experiment, Architect & Build AI solutions for learning at scale, focusing on compact, efficient models optimized for client-side, low-resource applications
• Design, fine-tune & deploy lightweight LLMs and transformer-based models (DistilBERT, TinyGPT, instruction-tuned open-source models) for real-world learning applications
• 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

What you need

• 3–6 yrs of experience
• Machine learning
• Python
• LLMs
• Deep learning
• MLOps
• PyTorch
• Any graduate

Good to have

• TensorFlow
• Data structures
• FastAPI
• Unit testing
• Flask
• Prototyping