1. Basic data analysis and inference:
Dissecting and understanding data distributions relevant to pertinent problems. This analysis gives easy action-ables or sets the relevant groundwork for further modeling if required. Basic knowledge of probability and statistics is expected.
2. Modeling:
Building model prototypes to solve pertinent problems. This is more research intensive work which requires a general understanding and working knowledge of a wide array of modeling techniques, related but not restricted to Machine Learning.
3. Modeling Infrastructure:
Apart from building model prototypes, this role also expects the ability to roll out models into production, which involves building the necessary back-end infrastructure (if necessary ) to facilitate running the models. Comfort in back-end development is expected.
Should have experience in Data inference, modeling, back-end development 2-4 years
Should be from IIT/IIIT/BITS
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