[Winter Internship] Data Science at Enterpret

 [Winter Internship] Data Science at Enterpret :



About Enterpret 

We are building analytics on natural language to help product development teams learn from large-scale customer feedback. Since our inception in 2020, we have been backed by top-tier VC firms from Silicon Valley and India. Today, we are proud to partner with some of the fastest scaling Product Led Growth companies. We are growing really fast and excited about having more people join us on this journey.




Read more about our core values and operating principles - here.



Roles & Responsibilities

This will be a 6 month full-time internship. 


Work closely with the team leads, to develop state-of-the-art NLP pipeline. This includes everything from data gathering to inference.

Build & test deep learning models in the areas of few shot learning, text generation, semantic search, ABSA

Create deployment pipelines for real-time as well as batch inference for deep learning models.

Own end to end Quality Metrics for the various AI models: from learning to inference to rendering.

Qualifications

Willingness to evolve into full time ML-Engg/ML-Scientist at Enterpret

Wide experience with Python and NLP (transformers)

Strong programming abilities, especially Python Scientific Stack (Numpy, Pandas, Scikit-Learn)

Solid foundations in Linear Algebra, Optimization & Data Structures

Exposure to Machine Learning - preferably, Deep Learning with Pytorch/Tensorflow.

Relentless passion to learn, own & deliver customer delight.

Benefits and Perks

Autonomy and Ownership

Smart, Humble and Friendly peers

Competitive remuneration package 

Generous vacation

Learning & Development resources

 


Equal Opportunities

We are an equal opportunity employer. We ensure that none of our employees or prospective employees receives less favourable treatment as a result of age, sex, disability, marital status, colour, race, religion or ethnic origin. Equally we aim to ensure that no such employee is disadvantaged by terms and conditions of employment which cannot be justified.


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