Founding Engineer - Machine Learning

About Us

Deccan AI is a model training and eval startup headquartered in the Bay Area. We are founded by IIT Bombay, IIM Ahmedabad and ex-Google alumni, and work with some of the top AI frontier labs in the world, e.g. Google Deepmind, Snowflake, and many more. We are backed by Prosus Ventures, and our India delivery office is in Hyderabad. Most of our roles are on-site i.e. Bay Area / Hyderabad.

About the Role

We’re looking for aFounding ML Engineer to build and scale core machine learning systems from the ground up. This is a hands-on role for someone who can move fast between experimentation and deployment — blending research intuition with engineering execution.

You’ll work closely with the founders to design, train, and ship production-grade ML models while setting the foundation for our technical culture, infrastructure, and research practices.

What You’ll Do

• Build and optimizeend-to-end ML pipelines — from data ingestion to deployment.

• Implement and fine-tuneLLMs, embeddings, and generative models for real-world applications.

• Developefficient training and inference systems leveraging distributed compute.

• Partner with the data and product teams to translate ideas into measurable ML impact.

• Contribute tomodel monitoring, evaluation, and continual learning frameworks.

• Establishbest practices in model versioning, reproducibility, and scalability.

What You’ll Bring

• 3–7 years of experience as anML Engineer / Applied Scientist / Research Engineer.

• Proficiency inPython, PyTorch, TensorFlow, or JAX.

• Strong grasp ofML fundamentals — data preprocessing, feature engineering, model training, and optimization.

• Experience withdistributed systems, cloud ML infra (AWS, GCP, or Azure), andMLOps tools (Weights & Biases, MLflow, etc.).

• Comfortable working withlarge datasets and high-throughput systems.

• Bias for action, ability to work autonomously, and eagerness to shape something from scratch.