Vision

To be a centre of excellence for transforming students into proficient Artificial Intelligence and Machine Learning Engineers using through sustainable practices.

Mission

M1.    Impart core fundamental knowledge and necessary skills in Artificial Intelligence and Data Science through innovative teaching and learning methodology.

M2.    Inculcate critical thinking, ethics, lifelong learning and creativity needed for industry and society.

M3.    Cultivate the students with all-round competencies, for career, higher education and self-employability.

Job Profiles

AI and ML Employment forecast in India by 2025 - 2030

The Artificial Intelligence (AI) and Machine Learning (ML) sectors in India are poised for substantial growth over the next five years. As these technologies continue to transform industries, they are expected to drive demand for skilled professionals across various domains. The employment forecast for AI and ML in India from 2025 to 2030:

* Key Drivers:

1. Increased AI Adoption Across Industries:
   1. AI/ML will continue to be adopted across sectors such as healthcare, finance, e-commerce, retail, manufacturing, and agriculture.
   2. Companies are leveraging AI and ML for automation, data analytics, predictive analytics, personalization, customer service (e.g., chatbots, recommendation systems).
   3. Indian startups and established players like Infosys, Wipro, and TCS are investing heavily in AI/ML solutions, increasing the demand for professionals in this field.
2. Government Initiatives and Investments:
   1. The Indian government is supporting AI through initiatives like Digital India, National AI Strategy, and partnerships with academic institutions and startups. This will foster growth in AI-driven projects and research.
   2. Programs like AI for All, AI-enabled Smart Cities, and AI-powered education will stimulate demand for AI/ML engineers in the public sector.
3. AI and Automation in Enterprises:
   1. Large enterprises are automating repetitive tasks using AI/ML algorithms in areas such as customer support, supply chain management, manufacturing, and HR.
   2. Robotic Process Automation (RPA) integrated with AI and natural language processing (NLP) will create job opportunities for professionals in AI automation.
4. R&D and Innovation in AI:
   1. The push for AI research and development (R&D) in India, especially in areas like deep learning, computer vision, NLP, and reinforcement learning, will require more skilled professionals.
   2. Global tech giants, such as Google, Microsoft, IBM, and Intel, have set up R&D centers in India, further increasing job opportunities in the AI/ML domain.
5. Increased Investment in Startups:
   1. AI startups in India are attracting substantial venture capital investment, driving demand for professionals in AI product development, AI infrastructure, and AI application deployment.
6. Healthcare, Autonomous Vehicles, and Smart Cities:
   1. Healthcare is a major area where AI is being integrated for diagnostics, personalized treatment, and drug discovery.
   2. The growth of autonomous vehicles and smart cities will significantly increase AI-related jobs, including roles focused on computer vision, sensors, IoT, and AI integration.
   3. India's National AI Mission will support AI applications in agriculture, healthcare, education, and transportation, further increasing AI/ML demand.

Key AI and ML Job Roles in India (2025-2030)

1. Machine Learning Engineer:
   1. Roles: Develop and deploy machine learning models, work with data scientists, and fine-tune algorithms for scalability.
   2. Skills: Python, TensorFlow, PyTorch, Scikit-learn, statistical analysis, model optimization, neural networks, deep learning.
   3. Demand: High demand in industries like e-commerce, finance, automotive, and manufacturing.
2. Data Scientist:
   1. Roles: Analyze and interpret complex data to inform business decisions using AI/ML models and statistical methods.
   2. Skills: Python, R, SQL, data visualization (Matplotlib, Seaborn), ML algorithms, deep learning, time-series forecasting, big data tools.
   3. Demand: Data scientists will continue to be in demand across sectors like finance, retail, healthcare, and telecom.
3. AI Research Scientist:
   1. Roles: Conduct cutting-edge research in AI/ML fields such as NLP, computer vision, reinforcement learning, deep learning, and AI ethics.
   2. Skills: Advanced knowledge of algorithms, research methodologies, Python, TensorFlow, PyTorch, mathematical modeling.
   3. Demand: Growing demand in tech companies, universities, R&D labs, and startups.
4. Deep Learning Engineer:
   1. Roles: Specialize in deep learning techniques to build models like neural networks and optimize them for applications such as computer vision, NLP, and speech recognition.
   2. Skills: TensorFlow, Keras, PyTorch, neural networks, natural language processing, image processing, computer vision.
   3. Demand: High demand in sectors like healthcare, automotive, gaming, and financial services.
5. AI/ML Product Manager:
   1. Roles: Manage AI-driven product development, coordinate between engineering, research, and business teams, and ensure successful deployment of AI products.
   2. Skills: Product lifecycle management, agile methodologies, data analysis, market research, technical knowledge of AI/ML.
   3. Demand: Growing demand in tech companies, AI startups, and enterprise software.
6. NLP Engineer:
   1. Roles: Focus on developing AI systems that understand, process, and generate human language using machine learning techniques.
   2. Skills: NLP algorithms, text mining, deep learning for NLP, Python, NLP frameworks (SpaCy, NLTK), sentiment analysis, speech recognition.
   3. Demand: High demand in customer service, AI chatbots, content recommendation, and voice assistants.
7. AI Software Engineer:
   1. Roles: Design and build AI applications, implement AI models in real-world environments, and work on the integration of AI into existing software systems.
   2. Skills: Python, C++, Java, TensorFlow, cloud computing, microservices architecture, Docker, Kubernetes.
   3. Demand: Demand from companies adopting AI across various industries like finance, retail, manufacturing, and healthcare.
8. AI Ethics Specialist:
   1. Roles: Ensure that AI systems are developed and used ethically, focusing on bias reduction, fairness, transparency, and accountability.
   2. Skills: AI ethics, legal frameworks, data privacy, machine learning fairness, algorithmic transparency.
   3. Demand: Growing demand in government organizations, big tech companies, and research institutions.

Industry-Specific AI and ML Job Trends

1. Healthcare:
   1. Medical diagnostics, Personalized treatment, Drug discovery, and Robot-assisted surgery, Medical AI, Bioinformatics, and healthcare data analytics.
2. Finance and Banking:
   1. Fraud detection, Credit scoring, Personalized banking services, and Automated trading, Financial data scientists, Quantitative analysts, and AI-enabled risk management. ML applications in Fintech will create opportunities for specialists in Blockchain, smart contracts, and AI in Cryptocurrency.
3. Automotive (Autonomous Vehicles):
   1. Self-driving cars and Smart transportation systems, AI and ML professionals will be required for computer vision, sensor fusion, and real-time decision-making, Autonomous vehicles.
4. Retail and E-commerce:
   1. AI in e-commerce is transforming customer experience through personalized recommendations, dynamic pricing. Demand for professionals in e-commerce AI, recommendation algorithms, and supply chain optimization.

Expected Growth in AI and ML Jobs

1. Job Market Growth: The AI industry in India is projected to grow at a CAGR (Compound Annual Growth Rate) of about 30-40% in the next 5 years. The total number of AI jobs could double or triple as AI becomes more integrated into business operations and public services.
2. Salary Trends: Professionals in AI/ML roles are expected to earn highest salaries in the IT industry. Salaries for roles like AI Research Scientist, ML Engineer, and Data Scientist will receive an average annual compensation ranging from ₹12-30 lakhs.
1. Entry-level (0-2 years): ₹6-12 Lakhs per annum
2. Mid-level (3-5 years): ₹12-20 Lakhs per annum
3. Senior-level (5+ years): ₹20-35 Lakhs per annum
4. AI Research Scientist: ₹25-50 Lakhs per annum depending on expertise)
5. AI/ML Project Managers: ₹30-60 Lakhs per annum (For senior positions)

Certifications and Skills to Upskill

1. Python and R language for data manipulation and model development.
2. TensorFlow, PyTorch, and Keras for deep learning.
3. Data science tools like Pandas, NumPy, SciPy for data wrangling and analysis.
4. NLP frameworks: SpaCy, Hugging Face for text processing and sentiment analysis.
5. Google AI Certification and Deep Learning Specialization by Andrew Ng (Coursera).
6. Google Professional Machine Learning Engineer
7. AWS Certified Machine Learning – Specialty
8. Microsoft Certified: Azure AI Engineer Associate
9. IBM AI Engineering Professional Certificate
10. Data Science Professional Certificate
11. Certified Data Scientist (CDS)
12. Deep Learning Specialization by Andrew Ng
13. Advanced Machine Learning Specialization
14. Natural Language Processing with Deep Learning

Targeted Job Applications:

1. AI-centric companies: Target large tech firms like Google, Microsoft, Amazon, NVIDIA, IBM, TCS, and Infosys that have AI research labs and use AI in their operations.
2. Startups: India has a growing number of AI/ML startups, especially in cities like Bangalore, Hyderabad, and Pune. Some of these startups offer opportunities for hands-on work in cutting-edge AI/ML applications.
3. Freelancing: Platforms like Upwork and Freelancer offer freelance opportunities in AI/ML, allowing you to build a diverse portfolio.

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