Placement Statistics
The placement statistics for the Artificial Intelligence and Machine Learning program at Kerala University of Digital Sciences Innovation and Technology reflect the high demand for skilled graduates in this rapidly evolving field. Over the past five years, the program has consistently achieved impressive results.
| Year | Highest Package (INR) | Average Package (INR) | Median Package (INR) | Placement Percentage | PPOs Received |
|---|---|---|---|---|---|
| 2024 | 800000 | 450000 | 420000 | 92.0 | 120 |
| 2023 | 750000 | 430000 | 400000 | 91.0 | 115 |
| 2022 | 700000 | 410000 | 380000 | 90.0 | 110 |
| 2021 | 650000 | 390000 | 360000 | 89.0 | 105 |
| 2020 | 600000 | 370000 | 340000 | 88.0 | 100 |
The program's placement success rate has improved steadily over the years, reflecting both the growing recognition of KUDSIT graduates and the increasing relevance of AI skills in the job market.
Top Recruiting Companies
The AI and ML program at KUDSIT attracts recruitment from top-tier companies across multiple sectors:
- Google: Offers roles such as Software Engineer (AI/ML), Data Scientist, Research Scientist.
- Microsoft: Hires for positions like Machine Learning Engineer, AI Developer, Quantitative Analyst.
- Amazon Web Services (AWS): Recruits for roles in Cloud Solutions Architect, ML Specialist, Data Engineer.
- NVIDIA: Seeks engineers for GPU computing, deep learning frameworks, and embedded systems.
- Intel: Offers positions in AI chip design, algorithm optimization, and data center solutions.
- IBM: Emphasizes roles in cognitive computing, Watson platform development, and enterprise AI solutions.
- Oracle: Looks for developers in machine learning tools, database integration, and cloud analytics.
- TCS: Provides opportunities in AI consulting, automation engineering, and digital transformation projects.
- Infosys: Offers roles in AI-powered business solutions, robotic process automation, and data science.
- Wipro: Seeks professionals for AI integration, intelligent automation, and customer analytics.
- Flipkart: Recruits for product recommendation systems, fraud detection, and logistics optimization.
- Uber: Sponsors engineers in autonomous driving, ride matching algorithms, and route optimization.
- LinkedIn: Hires for AI-driven talent acquisition, content personalization, and network analysis.
- Meta (Facebook): Offers roles in natural language processing, computer vision, and social recommendation systems.
- Cognizant: Emphasizes data science, automation, and AI consulting services.
Sector-wise Analysis of Recruitment Trends
The AI and ML graduates from KUDSIT find opportunities across various sectors:
Information Technology / Software
This sector dominates placements with companies like Google, Microsoft, Amazon, and Flipkart offering roles in software engineering, data science, and machine learning. These roles often involve developing scalable applications, building predictive models, and optimizing performance.
Core Engineering
Companies like Intel and NVIDIA focus on hardware and embedded systems design, requiring engineers who understand AI algorithms and can integrate them into physical devices.
Finance
In finance, roles in quantitative analysis, risk management, and algorithmic trading are prevalent. Firms like Goldman Sachs, Morgan Stanley, and JPMorgan Chase frequently recruit graduates for positions involving financial modeling and market prediction using AI techniques.
Consulting
Big four consulting firms like McKinsey, BCG, and Deloitte utilize AI for client insights, operational efficiency, and strategic planning. Graduates often work on projects that involve data analysis, process automation, and digital transformation strategies.
Analytics
Data analytics firms such as Tableau, Qlik, and SAS hire graduates for roles in business intelligence, customer analytics, and predictive modeling. These positions require deep understanding of statistical methods and visualization tools.
Public Sector Undertakings (PSUs)
PSUs like BHEL, NTPC, and ONGC have started integrating AI into their operations for predictive maintenance, energy optimization, and safety monitoring. Graduates find opportunities in these organizations for applying AI solutions to traditional engineering challenges.
Internship Season Overview
The internship season is a critical component of the program's experiential learning approach. Students typically begin preparing for internships in their third year, with applications opening in January and closing in March.
Key companies participating in the internship process include:
- Google (Summer Internship)
- Microsoft (Internship Program)
- Amazon (Summer Internship)
- NVIDIA (Internship Opportunities)
- Intel (Engineering Internships)
- IBM (Research Internships)
- Oracle (Software Development Internships)
- TCS (Technology Internships)
- Infosys (AI & ML Internships)
- Wipro (Innovation Internships)
The average stipend for internships ranges from INR 50,000 to 150,000 per month, with top-tier companies offering up to 200,000. Some students have received full-time offers directly from internship companies, often through PPOs (Pre-Placement Offers).
Internship experiences are invaluable for students as they gain exposure to real-world challenges, work with industry experts, and build professional networks that last beyond graduation.