Machine learning

Machine learning

Atreya Innovations Private Limited

Pune
5000 per month
3 Opening(s)
Posted 13 days ago
Application endsJan 17, 2025

Job Description

About the internship Selected intern's day-to-day responsibilities include: 1) Build ML/DL-based models that can predict health parameters from image data real time. 2) Develop vision programs in machine learning for image-based prediction and analysis 3) Extensive prior understanding/experience working with image data-based modules e.g. vision transformers. Skills - Expertise in PyTorch or Python is a must (please do not apply if you don't have experience with image processing models or lack expertise in Python/PyTorch) Who can apply Only those candidates can apply who: 1. are available for full time (in-office) internship 2. can start the internship between 28th Nov'24 and 2nd Jan'25 3. are available for duration of 3 months 4. have relevant skills and interests * Women wanting to start/restart their career can also apply. Atreya Innovations Private Limited is a healthcare technology startup working towards holistic wellness far beyond calories, proteins, fibers, and fats. Each of us is built differently, and we respond differently to diet and exercise. We use data-driven AI-based predictive algorithms and modern and traditional healthcare approaches. Our goal is to improve our personalized diagnosis and recommendations for better wellness continuously. Our latest product Turyaa is a home-based pulse monitoring device that combines the sciences of Ayurveda, nutrition, and artificial intelligence to provide personalized diet and lifestyle recommendations for your entire family. Our earlier product was Nadi Tarangini - a Nadi Pariksha system that generates a comprehensive Nadi report to help diagnose ayurvedic doctors.

Job Skills

Image Processing
Machine Learning
Python

Job Overview

Date Posted
December 02, 2024
Location
Pune
Offered Salary

5000 INR per month

Expiration date
January 17, 2025
Experience
0 To 3 Years
Qualification
Bachelor of Science in Computer Science