AI / Machine Learning Intern
kaushalsaathi
This job at a glance
- Who can apply
- Freshers and up to 1 year · Bachelor's degree
- Must know
- Machine learningPythonData structures & algorithmsscikit-learnPandasNumPy
- Nice to have
- Deep learningPyTorchTensorFlowREST APIs
- Work
- On-site in India · internship
- Pay
- Not stated by the employer.
- Skill demand
- Machine learning81%Python69%scikit-learn24%Data structures & algorithms23%of 98 similar fresher jobs posted in India this week
- Listed
- 9 Nov 2026 · still open
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About Kaushalsaathi powered by Sunsys Techsol Pvt. Ltd.
Sunsys Techsol is an innovation-driven company operating across IT Services, Renewable Energy, and Digital Solutions. Our mission is to build intelligent digital platforms that create social impact in clean energy, education, and inclusion. We promote a remote-first culture focused on learning, innovation, and practical exposure.
Role Overview
We are looking for an enthusiastic AI / Machine Learning Intern who is curious, analytical, and eager to work on real-world AI solutions. You will collaborate with developers and data teams to build, test, and deploy machine learning models.
Key Responsibilities
- Assist in developing and training machine learning models
- Work on data preprocessing, cleaning, and analysis
- Implement ML algorithms using Python
- Build basic AI solutions like chatbots, recommendation systems, or prediction models
- Evaluate model performance and improve accuracy
Requirements & Tech Stack
- Basic knowledge of Python
- Understanding of Machine Learning fundamentals
- Familiarity with libraries like NumPy, Pandas, Scikit-learn
- Good communication & time management skills
Preferred / Bonus Skills
- Knowledge of Deep Learning (TensorFlow / PyTorch)
- Understanding of APIs and model deployment
- Prompt Engineering & AI tools exposure
- Git/GitHub basics
Eligibility
- Pursuing or completed Bachelor’s in Computer Science, IT, AI, Data Science, or related fields
- Final-year students and freshers are welcome
Internship Opportunity
- Location: Remote (PAN India)
- Duration: 3 Months
- Timing: Flexible (Part-time, 5 to 6 hours/day)
- Stipend: Unpaid
- Perks: Certificate of Completion, Letter of Recommendation (LOR), Real-world Project Experience