Job Description

Sr. Machine Learning Engineer

Must Haves:

• You should be experienced 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.
• You have experienced that and understand 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.
• Managing a large scale production ML system for at least a couple of years
• Optimization and tuning of models for deployment at scale
• Monitoring and debugging of production ML systems
• An enthusiasm and drive to learn, assimilate and disseminate the state of the art research. A lot of what we are building will require innovative approaches using newly researched models and applications.
• Past experience of mentoring junior colleagues
• Knowledge of and experience in ML Ops and tooling for efficient machine learning processes

Good to Have:

• Our stack also includes languages like Go and Elixir. We would love it if you know any of these or take interest in functional programming.
• We use Docker and Kubernetes for deploying our services, so an understanding of this would be useful to have.
• Experience in using any other platform, frameworks, tools.