Placement Statistics (Last 5 Years)
| Year | Highest Package (Domestic) | Highest Package (International) | Average Package | Median Package | Placement Percentage | PPOs Received |
|---|---|---|---|---|---|---|
| 2020 | 1500000 | 3000000 | 500000 | 450000 | 85% | 25 |
| 2021 | 1600000 | 3200000 | 550000 | 500000 | 87% | 30 |
| 2022 | 1700000 | 3400000 | 600000 | 550000 | 89% | 35 |
| 2023 | 1800000 | 3600000 | 650000 | 600000 | 91% | 40 |
| 2024 | 2000000 | 4000000 | 700000 | 650000 | 93% | 45 |
Top Recruiting Companies
The following companies have consistently recruited graduates from our AI program:
- Google: Software Engineer, Data Scientist, Research Analyst
- Microsoft: Software Developer, AI Researcher, Cloud Solutions Architect
- Amazon: Machine Learning Engineer, Data Analyst, Alexa Developer
- IBM: AI Consultant, Data Scientist, Research Scientist
- Intel: AI Engineer, Algorithm Developer, Hardware Integration Specialist
- NVIDIA: Deep Learning Engineer, GPU Optimization Specialist
- Oracle: AI Software Developer, Database Architect
- Salesforce: AI Product Manager, Machine Learning Engineer
- Adobe: AI Product Engineer, Data Scientist
- Tesla: Autopilot Engineer, AI Researcher
- Meta: Software Engineer, NLP Specialist, Platform Developer
- OpenAI: Research Intern, AI Scientist, Algorithm Designer
- Carnegie Mellon University: PhD Fellowships, Research Assistantships
- Stanford University: Graduate Admissions, Research Opportunities
- MIT: PhD Scholarships, Summer Programs, Research Visits
Sector-Wise Analysis of Recruitment
The AI program has seen strong recruitment across multiple sectors. In the IT/Software domain, roles like Software Engineer, Data Scientist, Machine Learning Engineer, and AI Researcher are prevalent. Core engineering firms such as Intel and NVIDIA offer positions in hardware integration, algorithm development, and system optimization.
In finance, graduates often secure roles as Quantitative Researchers, Risk Analysts, or Algorithmic Traders, applying their skills to financial modeling and predictive analytics. Consulting firms like McKinsey and BCG recruit AI experts for digital transformation projects.
Analytics companies like Google Analytics, Tableau, and Snowflake offer data science and visualization roles that leverage AI capabilities. Public sector organizations including ISRO and DRDO have also started integrating AI into their systems, creating opportunities for research-oriented graduates.
Internship Season Overview
The internship season typically begins in the third year, with most students securing internships by mid-year. Internships are offered in top-tier companies like Google, Microsoft, Amazon, and NVIDIA. The average stipend ranges from ₹30,000 to ₹80,000 per month, depending on the company and role.
Internship opportunities include positions such as Data Science Intern, AI Research Intern, Machine Learning Engineer Intern, and Software Development Intern. These internships provide students with hands-on experience and often lead to full-time job offers or PPOs (Pre-Placement Offers).