Posted on: 08/04/2025
About the role :
In this role, you will :
- 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 of these production systems.
- Work on researching the latest technology in the areas of our interest and applying it to build newer products and enhance the 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 the aspects mentioned above.
About you :
- You are a seasoned machine learning engineer(or data scientist).
- Our ideal candidate is someone with 10+ years of experience in machine learning.
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 artresearch.
- A lot of what we are building willrequire 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 an 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, or tools.
Other things to keep in mind :
- Our goal is to help a significant part of the worlds population unlock real opportunities.
- This is an opportunity to make a positive impact here, and we hope you like it as much as we do.
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Posted in
AI/ML
Functional Area
Data Science
Job Code
1460652
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