Primary Function:-

As a Senior Data Scientist, you will:

Work collaboratively with the Engineering and product teams.
Communicate and articulate complex issues & technologies easily to stakeholders at different levels.
Think through problems and drive solutions from inception to shipment.
Keeping abreast of research trends in the field of Deep Learning/vision/NLP.

Qualification & Competency:

Bachelors or above in Data Science, Mathematics, Statistics, Econometrics, Computer Science or a related field.
3-5 years of experience in building complete ML products ; from the problem analysis and data selection to their production deployment and monitoring for progressive enhancements and drifts from business impact.
Theoretical knowledge and hands-on experience in deep learning/computer vision/NLP
Ability to rapidly prototype and evaluate algorithms.
Experience on working with text only and multimodel SLMs will be a big plus. This involves finetuning and building robust eval pipelines specific to use cases.
Experience with deep learning frameworks such as Keras, PyTorch and TensorFlow.
Good programming skills is a must, especially skills relevant to building robust ML models.
Domain experience in Fintech is preferred, but not mandatory.
Experience of publishing in top-tier conferences and journals will be considered a plus.

Data Scientist