Machine Learning Internship

About the internship

As a Machine Learning intern at Emoolar Technology Private Limited, you will have the opportunity to work on cutting-edge projects that will shape the future of our company. You will have the chance to apply your knowledge of Machine Learning, Data Science, Python, and Natural Language Processing (NLP) to real-world applications and make a meaningful impact on our business.

Key responsibilities

1. Collaborate with the data science team to develop and implement machine learning models.
2. Assist in collecting, cleaning, and analyzing data to train models effectively.
3. Research and experiment with new algorithms to improve model performance.
4. Develop tools and scripts to automate repetitive tasks in data processing and model deployment.
5. Work on projects related to NLP, sentiment analysis, recommendation systems, and more.
6. Present findings and recommendations to stakeholders in a clear and concise manner.
7. Stay up-to-date on the latest trends and advancements in machine learning and data science to contribute fresh ideas to the team.

Join us at Emoolar Technology and take your Machine Learning skills to the next level!

Who can apply

Only those candidates can apply who

• are available for the work from home job/internship
• can start the work from home job/internship between 4th Oct'26 and 8th Nov'26
• are available for duration of 6 months
• have relevant skills and interests
• * Women wanting to start/restart their career can also apply.

Stipend

INR₹ 10,000 - 12,000 /month

Deadline

2026-11-03 23:59:59

Other perks

Certificate, Letter of recommendation, Flexible work hours, 5 days a week

Skills required

Python, Machine Learning, Data Science and Natural Language Processing (NLP)

About company

At Emoolar, we are a leading provider of comprehensive IT services tailored to meet the evolving needs of businesses in the digital age. With a commitment to excellence and innovation, we deliver cutting-edge solutions that empower organizations to thrive in today's dynamic and competitive landscape.