Artificial Intelligence & Machine Learning Intern
Letsintern.in
Posted 14 Nov 2026, 17:15 IST
This job at a glance
- Who can apply
- Freshers and up to 1 year · B.Tech / B.E., BCA, MCA, B.Sc and more
- Must know
- Machine learningPythonData structures & algorithms
- Work
- On-site in India · internship
- Pay
- Not stated by the employer.
- Skill demand
- Machine learning78%Python75%Data structures & algorithms38%of 99 similar fresher jobs posted in India this week
- Listed
- 14 Nov 2026 · still open
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About Corporate Web Solutions
Corporate Web Solutions is an IT and technology company working in web development, artificial intelligence, data science, and technology-driven solutions. We are looking for motivated and curious individuals who want to gain practical experience by contributing to real-world company projects.
Role Overview
We are inviting applications for the position of Artificial Intelligence & Machine Learning Intern. Selected candidates will work with our team on assigned projects, explore AI/ML technologies, and develop practical technical skills.
Key Responsibilities
- Assist in developing and implementing AI and Machine Learning solutions.
- Work with Python and relevant AI/ML libraries.
- Support data collection, preprocessing, and analysis.
- Explore machine learning algorithms and model development.
- Assist with testing, evaluating, and improving models.
- Work on assigned project tasks and technical documentation.
- Collaborate with mentors and team members.
Requirements & Tech Stack
- Basic knowledge of Python programming.
- Understanding of AI and Machine Learning fundamentals.
- Interest in Data Science, automation, and emerging technologies.
- Problem-solving and analytical thinking.
- Willingness to learn and work on practical assignments.
Who Can Apply?
- B.Tech / B.E. students (CSE, IT, AI & ML).
- BCA / MCA students.
- B.Sc. / M.Sc. Computer Science or Data Science students.
- Recent graduates with an interest in AI and Machine Learning.
What We Offer
- Practical exposure to company projects.
- Mentorship and technical guidance.
- Opportunity to strengthen your technical portfolio.
- Professional internship experience.
- Certificate and other internship-related documentation, subject to successful completion and company policy.