Friday, April 28, 2023

Join Enterpret's Exciting Journey as a Machine Learning Intern: Work Remotely and Earn INR 70K per Month

machine learning, internship, Enterpret, remote work, NLP, deep learning models, deployment pipelines, product development, Silicon Valley, India, VC firms, career, Python, PyTorch, TensorFlow, data gathering, real-time inference, batch inference, quality metrics, customer feedback, equal opportunity, learning and development resources

Join Enterpret's Exciting Journey as a Machine Learning Intern: Work Remotely and Earn INR 70K per Month

Looking for a Machine Learning Internship with a fast-growing company that's backed by top-tier VC firms from Silicon Valley and India? Look no further than Enterpret! As a Machine Learning Intern, you'll have the opportunity to work closely with the team leads to develop state-of-the-art NLP pipelines, build and test deep learning models, and create deployment pipelines for real-time and batch inference. With a competitive salary of INR 70K per month, generous vacation, and learning and development resources, Enterpret is an excellent place to kickstart your career in machine learning. Apply now and join the team on this exciting journey!

 

Enterpret is 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. 

 

Company Name:

Enterpret

Designation:

Machine Learning Intern

Location:

Remote

Website:

https://www.enterpret.com/

Qualification:

Any Graduate

Batch:

2022/2023/2024

Experience:

Fresher

Package CTC:

INR 70K per month

Last Date to Apply:

ASAP

Job Description:

Given Below

Apply Link:

Click Here To Apply for Enterpret

 

Description

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 3/6 month full-time internship (~40 hours a week).

  • 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.    

 

Click Here To Apply for Enterpret     

 

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