Machine Learning Internship at Enterpret | Work From Home

Table of Contents

Brief Description

Machine Learning Internship at Enterpret | Work From Home, work at home and earn some money. Enterpret invites applications from suitably qualified candidates to apply for the Machine Learning Internship at Enterpret | Work From Home.

Machine Learning Internship at Enterpret | Work From Home

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.

We are on twitter, follow us to connect with us for daily and Latest info – @latest_infor
— Latest infor | Giving the latest info (@latest_infor) January 20, 2023

Internship Details

Position: Machine Learning Intern
Location: Work From Home
Qualification: Any Bachelors/ Masters Degree
Batch: Any
Experience: 0 – 1 Years
Category: Internships

Qualifications/Requirements

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.

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.