Capgemini is hiring a Artificial Intelligence Intern in Bengaluru for a 6-month, fully mentored internship. This is real, reviewed work on live projects — not a training sandbox or a certificate mill.
About the internship
You will join the AI engineering team and work alongside people who do this professionally every day. From week one you own a scoped piece of work, take it through review, and see it ship.
Day-to-day responsibilities
• Prepare datasets and run training experiments.
• Evaluate models against defined metrics and baselines.
• Implement and test inference pipelines.
• Document experiments so results are reproducible.
• Document your work clearly so the next person can pick it up.
• Take part in stand-ups, planning and review sessions with the team.
Tools and technologies you will use
Python, Machine Learning, Deep Learning, TensorFlow, PyTorch, NLP, Statistics, Data Preprocessing, Model Evaluation, Git — plus the internal tooling Capgemini uses day to day.
What you will learn
How AI systems are built and evaluated in practice — data quality, baselines, and honest measurement.
Team structure
You report to a senior team member who acts as your mentor, inside a pod of 6-10 people. Weekly 1:1s track progress and a mid-internship review tells you exactly where you stand.
What we expect from you
Curiosity, ownership and clear communication. You are not expected to know every tool listed — you are expected to have solid fundamentals, ask good questions, and document what you do.
Details: ₹12,000/month stipend · 6 months · Work From Home (Remote) · 1 opening · Bengaluru.
If you want to start a career in artificial intelligence in Bengaluru, apply now. Responsibilities: Prepare datasets and run training experiments.; Evaluate models against defined metrics and baselines.; Implement and test inference pipelines.; Document experiments so results are reproducible.; Document your work so the next person can pick it up. Requirements: Education: pursuing or completed B.E./B.Tech/BCA/MCA/B.Sc in CS, IT or a related discipline; Graduation year: 2025, 2026 or 2027 batch; Minimum 60% / 6.0 CGPA (relaxable for candidates with strong practical projects); Technical skills: working knowledge of Python, Machine Learning, Deep Learning, TensorFlow; Soft skills: clear written communication, ownership, willingness to document work; Experience: none required — freshers welcome; prior projects or certifications are a plus.
