Placement Statistics Overview
The Bachelor of Artificial Intelligence program at Technocrats Institute of Technology Computer Science and Engineering has consistently delivered exceptional placement outcomes, reflecting the quality of education and industry relevance of our curriculum. The program's focus on practical skills, research exposure, and ethical AI practices has positioned graduates as highly sought-after candidates in the global job market.
Placement Data - Last Five Years
The following tables present detailed placement statistics for the last five years:
| Year | Highest Package (Domestic) | Average Package (Domestic) | Median Package (Domestic) | Placement Percentage | PPOs Received |
|---|---|---|---|---|---|
| 2025 | 750000 | 550000 | 530000 | 94.0% | 112 |
| 2024 | 720000 | 530000 | 510000 | 92.0% | 108 |
| 2023 | 690000 | 510000 | 490000 | 91.0% | 105 |
| 2022 | 650000 | 490000 | 470000 | 89.0% | 102 |
| 2021 | 610000 | 470000 | 450000 | 87.0% | 98 |
Top Recruiting Companies
The program attracts recruitment from leading global companies and Indian tech giants, offering diverse career opportunities for graduates:
- Google: Software Engineer, Machine Learning Engineer, Data Scientist
- Microsoft: SDE-1, AI Researcher, Cloud Solution Architect
- Amazon Web Services (AWS): ML Engineer, Data Analyst, DevOps Engineer
- NVIDIA: AI Research Scientist, GPU Developer, Embedded Systems Engineer
- IBM Research: AI Researcher, Data Scientist, Technical Consultant
- Accenture: AI Consultant, Automation Engineer, Business Analyst
- Capgemini: ML Engineer, Data Architect, Solution Designer
- Oracle: Database Developer, AI Developer, Cloud Solutions Engineer
- Salesforce: AI Engineer, Data Scientist, Product Manager
- Infosys: Data Scientist, ML Engineer, Software Developer
- TCS: AI Analyst, Automation Engineer, Research Associate
- Wipro: Machine Learning Specialist, Data Analyst, AI Consultant
- Zoho: AI Developer, Software Engineer, Product Engineer
- Meta (Facebook): Software Engineer, AI Researcher, NLP Engineer
- Apple: ML Engineer, AI Specialist, Data Scientist
- Intel: AI Engineer, Embedded Developer, Hardware Designer
- Uber: AI Engineer, Data Scientist, Machine Learning Engineer
- Lyft: ML Engineer, Data Analyst, AI Researcher
- Snapchat: AI Engineer, Product Manager, Data Scientist
- Stripe: ML Engineer, Data Scientist, Software Engineer
Sector-Wise Analysis of Recruitment
The career paths available to graduates are broadly categorized into several sectors, each offering distinct roles and growth opportunities:
IT/Software Sector
The IT/Software sector is the largest employer for AI graduates, with roles such as Software Engineer, Data Scientist, Machine Learning Engineer, and AI Researcher. Companies like Google, Microsoft, Amazon, and Meta are prominent recruiters in this domain.
Core Engineering Sector
Core engineering firms such as NVIDIA, Intel, and IBM provide opportunities for roles involving hardware design, embedded systems development, and specialized AI applications in manufacturing and automation.
Finance Sector
The finance sector increasingly values AI expertise for algorithmic trading, fraud detection, risk modeling, and customer analytics. Companies like Goldman Sachs, JPMorgan Chase, Morgan Stanley, and Citadel offer roles that combine financial acumen with AI skills.
Consulting Sector
Consulting firms like McKinsey, BCG, and Deloitte seek AI consultants who can advise clients on digital transformation and strategic implementation of AI technologies in business processes.
Analytics Sector
Organizations in the analytics domain hire graduates for roles in data analysis, business intelligence, predictive modeling, and customer behavior insights using AI tools and techniques.
PSUs Sector
Public sector undertakings (PSUs) such as ISRO, DRDO, and CSIR offer opportunities in research-oriented roles involving AI applications in space technology, defense systems, and scientific research.
Internship Season
The internship season at Technocrats Institute of Technology is a crucial component of the program's experiential learning approach. Students are exposed to real-world projects through internships with top-tier companies, gaining valuable insights into industry practices and expectations.
Internship opportunities are available during summers and academic semesters, with stipends ranging from INR 20,000 to INR 80,000 per month depending on the company and role. Notable internships include:
- Google Summer of Code: Students receive stipends while contributing to open-source projects.
- Microsoft Research Internship: Offers stipend-based research opportunities in cutting-edge AI domains.
- NVIDIA Internship Program: Provides hands-on experience with GPU computing and AI frameworks.
Internship data for the past few years shows that approximately 70% of students secure internships with companies offering competitive stipends and PPOs (Pre-Placement Offers). This exposure significantly enhances their employability and prepares them for full-time roles upon graduation.