- Experience in framing and solving complex problems with the application of machine learning or deep learning models.

- Deep expertise in computer vision or NLP with the experience of putting it into production at scale.

- Experience & understanding that modelling is only a small part of building and delivering AI solutions and know what it takes to keep a high-performance system up and running.

- Experience in managing a large scale production ML system for atleast a couple of years.

- Experience in Optimization and tuning of models for deployment at scale.

- Experience in monitoring and debugging of production ML systems.

- An enthusiasm and drive to learn, assimilate and disseminate the state ofthe artresearch.

- Past experience of leading team.

- Knowledge of and experience in ML Ops and tooling for efficient machine learning processes.

- A lot of what we are building will require innovative approaches using newly researched models and applications.

Here's what your day would look like :

- Work on all aspects of a production machine learning platform: acquiring data, training and building models, deploying models, building API services for exposing these models, maintaining them in production, and more.

- Work on performance tuning of models.

- From time to time work on support and debugging oft hese production systems.

- Work on researching the latest technology in the areas of our interest and applying it to build newer products and enhancement ofthe existing platform.

- Building workflows for training and production systems.

- Contribute to documentation while the emphasis will be on researching, building and deploying models into production, you will be expected to contribute to aspects mentioned above.