Placement Statistics Overview
The B.Tech Artificial Intelligence program at Plaksha University Mohali has consistently achieved excellent placement outcomes, with a high percentage of students securing jobs in top-tier organizations. The following tables summarize key metrics for the last five years:
Placement Data (2020-2024)
| Year | Highest Package (Domestic) | Average Package | Median Package | Placement Percentage | PPOs Received |
|---|---|---|---|---|---|
| 2024 | 2500000 | 700000 | 650000 | 94.5% | 180 |
| 2023 | 2300000 | 680000 | 630000 | 93.0% | 170 |
| 2022 | 2000000 | 650000 | 600000 | 92.5% | 160 |
| 2021 | 1800000 | 620000 | 580000 | 91.0% | 140 |
| 2020 | 1600000 | 590000 | 550000 | 89.0% | 120 |
Top Recruiting Companies
Our graduates are highly valued by industry leaders who recognize the technical excellence and practical skills developed at Plaksha University Mohali:
- Google - Software Engineer, ML Engineer, Data Scientist
- Microsoft - AI Researcher, Machine Learning Engineer, Product Manager
- Amazon - Applied Scientist, Software Development Engineer, Data Analyst
- Meta (Facebook) - AI Engineer, NLP Specialist, Computer Vision Engineer
- IBM Research - AI Researcher, Software Engineer
- NVIDIA - AI Developer, Deep Learning Engineer
- OpenAI - Research Scientist, AI Engineer
- Tesla - Autopilot Engineer, AI Researcher
- Accenture - Data Scientist, AI Consultant, ML Engineer
- Deloitte - AI Analyst, ML Specialist, Consultant
- Oracle - AI Developer, Software Engineer
- Intel - AI Engineer, Machine Learning Engineer
- Uber - Data Scientist, ML Engineer
- LinkedIn - AI Engineer, Data Scientist
- Adobe - AI Researcher, Product Manager
- Salesforce - AI Engineer, Data Scientist
- Cognizant - AI Developer, ML Engineer
- Infosys - AI Consultant, Software Engineer
- Wipro - AI Engineer, Data Analyst
- Tata Consultancy Services - AI Specialist, ML Engineer
Sector-wise Analysis
The demand for AI professionals spans multiple sectors:
- IT/Software: Dominated by Big Tech firms, offering roles in machine learning, data science, and product development.
- Core Engineering: Companies like Tesla, NVIDIA, and Intel hire AI engineers to develop autonomous systems and embedded solutions.
- Finance: Fintech startups and traditional banks seek quantitative analysts and algorithmic traders with strong AI backgrounds.
- Consulting: Firms like McKinsey, BCG, and Deloitte utilize AI for analytics and business transformation.
- Analytics: Organizations across industries require data scientists to extract insights from large datasets.
- PSUs: Government organizations such as ISRO and DRDO employ AI researchers for space exploration and defense applications.
Internship Season
Internships play a crucial role in shaping the career trajectory of our students. The internship season begins in the summer of the third year, with companies offering both paid and unpaid internships. Historical stipend data:
| Company | Highest Stipend (INR) | Average Stipend (INR) |
|---|---|---|
| 100000 | 75000 | |
| Microsoft | 90000 | 65000 |
| Amazon | 80000 | 60000 |
| Meta | 85000 | 62000 |
| NVIDIA | 75000 | 55000 |
| IBM Research | 70000 | 50000 |
| OpenAI | 95000 | 70000 |
| Tesla | 65000 | 45000 |
| Accenture | 50000 | 35000 |
| Deloitte | 45000 | 30000 |
Internship opportunities are highly competitive, with many students receiving multiple offers. The placement cell facilitates this process through career workshops, mock interviews, and networking events with industry professionals.