AI, machine learning and data science internships and entry-level jobs in Bengaluru
16 live internships and 58 live entry-level jobs in AI, machine learning and data science in Bengaluru, from 59 companies. Every listing links to the original posting. Updated .
- Open now
- 74
- Internships
- 16
- Entry-level jobs
- 58
- Companies hiring
- 59
All AI, machine learning and data science roles in India · Every role in Bengaluru
What the work is
These roles build and evaluate models: machine learning, deep learning, NLP, computer vision and, increasingly, applications built on large language models. Data science roles sit here too. Most postings ask for Python and the core libraries, some statistics, and experience training or fine-tuning a model on real data.
Internships
Entry-level jobs
Showing the 30 newest of 57. The rest are on the next pages, or every live role is on the board.
Who is hiring
Skills these roles ask for
Common job titles
- Data Scientist 8
- AI Engineer 6
- Applied Scientist I 3
- AI/ML Engineer 2
- Applied Scientist 2
- Data Science Intern 2
- Machine Learning Engineer 2
- Machine Learning Intern 2
Questions students ask
Which companies are hiring for AI, machine learning and data science roles in Bengaluru?
Amazon (5), Amazon Science (3) and Linde (3) have the most open right now, out of 59 companies hiring.
What skills do AI, machine learning and data science roles ask for?
The skills these postings name most often are Python (49), Machine Learning (35), Generative AI (25), SQL (25) and Algorithms (24). Each posting lists its own; the job pages show them.
Are these internships or full-time jobs?
Both: 16 internships and 58 entry-level full-time jobs for freshers and recent graduates.
Do AI, machine learning and data science roles state the pay?
1 of the 16 internships states a stipend; none of the 58 entry-level jobs state a salary. Where a posting says nothing, its original listing is the place to check.
Other roles in Bengaluru
- Software engineering 119
- Data engineering and data analyst 47
- DevOps, cloud and site reliability 40
- QA and software testing 37
- VLSI, chip design and hardware 29
- IT support and networking 24
- Cybersecurity 20
- Core engineering (mechanical, electrical, civil) 13
- Full-stack development 11
- SAP, Salesforce and enterprise software 11
- Embedded systems and firmware 10





































