AI Engineer - Internship

Overview

About the internship:

Selected intern's day-to-day responsibilities include:

1. Working with various datasets
2. Working on data engineering, feature extraction, and pattern mining
3. Performing predictive analytics
4. Using mandatory Python and Notebook skills
5. Creating intuitive dashboards with any one of the BI tools (preferably Power BI)
6. Working with the team in building analytical dashboards
7. Working with the team on building Streamlit and Flask-based web apps
8. Developing AI POCs in Python
9. Analyzing data and creating DL models for the given problem statement
10. Working with the team to come up with presentable concepts
11. Working with TensorFlow libraries to create DL computer vision-based products, CNN, YOLO, and Audio Data

Who can apply:

Only those candidates can apply who:

1. are available for the work from home job/internship
2. can start the work from home job/internship between 5th Mar'26 and 9th Apr'26
3. are available for duration of 3 months
4. have relevant skills and interests
5. * Women wanting to start/restart their career can also apply.
6. are Computer Science Engineering students

Stipend:

INR₹ 3,000 /month

Deadline:

2026-04-04 23:59:59

Other perks:

Certificate, Letter of recommendation, Flexible work hours

Skills required:

Python, Data Analytics, MS SQL Server, Computer Vision, Data Science, Microsoft Azure, Natural Language Processing (NLP), Flask and Deep Learning

Other Requirements:

1. Candidates with strong Python skills are preferred

2. Knowledge and hands-on experience in cloud technologies and big data will be an add-on

3. Candidates who are committed and sincere

About Company:

We work with enterprises to build AI capabilities, platforms, and solutions. We also offer AI consulting and services. We are an AI talent academy leveraging the latest technologies to deliver unique platforms and solutions. We are working on launching unique AI and ML-enabled solutions to solve critical problems around security, customer behavior analytics, and improving customer engagement.