Introduction

Artificial intelligence and machine learning are conquering all industries and their working space. Advancements in technology have changed the perspective of performing complex tasks and decision-making. In 2025 and beyond, artificial intelligence and machine learning are expected to continue their rapid growth in every field, driven by increasing automation, data-driven decision making and the rise of AI-powered applications in various industries. AI is a significant economic force in every sector, making the process more intelligent, efficient, and adaptive. Adaptation of AI and ML will increase software development, ensuring faster results with reduced errors and customised approaches. 

Pursuing advanced courses in artificial intelligence and machine learning will lead you to build a bright future in this sector. Institutions like Saraswathi College of Engineering offer an exceptional B.E. program for aspiring students with a blend of theoretical foundations and practical applications to thrive in this rapidly evolving field. SCOE aims to equip graduates with the skills needed to excel in this dynamic field and open doors to numerous paying roles in reputed companies across the globe.

What is a B.E. in Artificial Intelligence and Machine Learning?

Computer Science and Engineering (Artificial Intelligence and Machine Learning) is a four-year undergraduate program designed to equip students with the skills and advanced knowledge necessary to join this fast-evolving field. It provides quality teaching and learning in theoretical and practical aspects to inculcate an innovative mindset in students. This program offers students hands-on projects, internships, industry collaborations and real-world exposures, preparing them for a successful career in AI and ML. This program identifies, understands, formulates and analyses complex engineering problems in data analysis with Tata database management, predictive analysis, trend identification and identifying business insights. After pursuing a BE in artificial intelligence and machine learning, the candidate can earn an average salary from INR 7 to 10 LPA.

B.E. in Artificial Intelligence and Machine Learning at SCOE?

Saraswati College of Engineering provides an advanced BE program and even secures the future of its students by offering placements in reputed companies. The candidate must meet the criteria mentioned below to enrol in the extraordinary B.E. program at SCOE:

Eligibility for B.E. in AI and Machine Learning

• 10+2 or equivalent from a recognized school board (Science stream is mandatory)
• 50% for the Open Category and 45% for the reserved category 

Admission Process

• Entrance Examination MH CET or JEE/ 3 Years Diploma

Why AI and ML Graduates Are in High Demand

The integration of AI and ML across various sectors has led to an unprecedented demand for skilled professionals:

Industry Adoption:

• Healthcare: Predictive diagnostics, personalised treatment plans.
• Finance: Fraud detection, algorithmic trading.
• Education: Adaptive learning platforms and administrative automation.
• Manufacturing: Predictive maintenance, quality control.

Technological Advancements:

• Rise of automation and intelligent systems.
• Proliferation of big data analytics.
• AI-driven decision-making processes.

Job Market Trends:

• In India, the AI sector is projected to create numerous job openings by 2026.
• Globally, AI and ML roles are among the fastest-growing occupations.

7 Highest Paying AI & ML Jobs in 2025

1. Machine Learning Engineer

Role Overview: Machine Learning Engineers are the architects behind intelligent systems. They design, build, and deploy machine learning algorithms to extract insights and automate processes across finance, e-commerce, healthcare, and more industries.

Top Companies Hiring: Google, Amazon, Microsoft, Infosys, TCS, NVIDIA, Flipkart, Meta.

Salary Range:

Essential Tools & Skills: Python, TensorFlow, Scikit-learn, PyTorch, SQL, Git, ML Ops frameworks (like MLflow, Kubeflow).

Who Should Choose This Role: Students who enjoy coding, math, and working with data pipelines.

2. AI Research Scientist

Role Overview: AI Research Scientists work on developing new AI architectures, algorithms, and models. Their work pushes the boundaries of what’s possible in artificial intelligence and often results in breakthroughs that influence entire industries.

Career Paths: Research roles in academic institutions, innovation labs of tech giants (Google DeepMind, IBM Research), and AI startups.

Average Salary: ₹12 – ₹20 LPA

Skills in Demand: Deep learning, reinforcement learning, neural network design, and advanced mathematics (linear algebra, probability).

3. Computer Vision Engineer

Role Overview: Computer Vision Engineers design systems that enable machines to “see” and interpret visual data. Their work powers self-driving cars, facial recognition systems, and medical imaging diagnostics.

Applications:

• Autonomous Vehicles
• Surveillance & Security Systems
• Industrial Automation
• AR/VR and Retail Analytics

Core Technologies: OpenCV, YOLO, TensorFlow, PyTorch, Keras.

Salary Range: ₹9 – ₹20 LPA

Ideal For: Candidates interested in image processing, hardware-software integration, and real-time systems.

4. NLP (Natural Language Processing) Engineer

Role Overview:
NLP Engineers build intelligent systems that understand, interpret, and generate human language. NLP transforms how humans interact with machines, from virtual assistants to automated content summarisation tools.

Use Cases:

• Chatbots & Voice Assistants
• Sentiment Analysis
• Machine Translation
• Speech Recognition

Key Tools: Python, NLTK, spaCy, Hugging Face Transformers, BERT, GPT models.

In-Demand Across: Tech startups, AI-driven customer service platforms, healthcare, and e-commerce.

Salary Range: ₹5 – ₹12 LPA

Recommended For: Students passionate about linguistics, text analytics, and building conversational AI tools.

5. Data Analyst

Role Overview: Data Analysts uncover actionable insights from large datasets. They help businesses understand patterns, track KPIs, and make informed decisions.

Key Responsibilities:

• Data cleaning and transformation
• Creating dashboards and visualisations
• Supporting strategic decisions with data

Tools Used: SQL, Excel, Tableau, Power BI, Python (Pandas, Matplotlib, Seaborn).

Salary Range: ₹5 – ₹10 LPA

Career Progression: Can evolve into roles like Data Scientist, Business Intelligence Analyst, or Analytics Manager.

6. Data Scientist (AI Focus)

Role Overview: AI-focused Data Scientists apply machine learning and statistical models to solve complex problems, such as demand forecasting, customer segmentation, fraud detection, and recommendation engines.

Hiring Industries:

• Finance (risk modelling, credit scoring)
• Healthcare (disease prediction, patient analytics)
• Retail (inventory and pricing models)
• Technology (SaaS product optimisation)

Salary Range: ₹13 – ₹14 LPA

Core Tools: Python, R, TensorFlow, Spark, SQL, Jupyter Notebooks.

Why It Pays Well: It bridges the gap between business needs and AI technology implementation.

7. Robotics Engineer (AI Integration)

Role Overview: Robotics Engineers integrate AI with mechanical systems to create intelligent robots. These robots perform surgery assistance, warehouse automation, bomb defusal, or even planetary exploration.

Applications & Industries:

• Defence and Aerospace
• Healthcare Robotics
• Logistics and Smart Warehousing
• Industrial Manufacturing

Salary Range: ₹5 – ₹10 LPA

Tech Stack: ROS (Robot Operating System), Python, C++, LIDAR, TensorFlow.

Best Fit For: Students interested in hardware + software, embedded systems, and automation.

Skills You Need to Land High-Paying AI Jobs

Technical Skills:

• Proficiency in Python and R.
• Understanding of ML frameworks like TensorFlow and PyTorch.
• Experience with cloud platforms (AWS, Azure, Google Cloud).

Soft Skills:

• Critical thinking and problem-solving.
• Effective communication and teamwork.
• Business acumen to align AI solutions with organisational goals.

Certifications That Help:

• Coursera’s AI Specialisation.
• AWS Certified Machine Learning.
• Google’s TensorFlow Developer Certificate.

How SCOE’s AI & ML Program Prepares You for These Roles

SCOE’s B.E. in Artificial Intelligence and Machine Learning is meticulously designed to bridge the gap between academic learning and industry requirements:

Curriculum Highlights:

• Comprehensive coverage of AI and ML concepts.
• Integration of theoretical knowledge with practical applications.

Hands-on Labs and Industry Projects:

• Real-world projects to enhance practical skills.
• Collaborations with industry partners for internships and live projects.

Placement Support and Alumni Success Stories:

• Dedicated Training and Placement Cell.
• Top recruiters include Infosys, TCS, Capgemini, Accenture, LTI, Tech Mahindra, and emerging AI startups.
• The average package was ₹7 LPA, with the highest reaching ₹10 LPA.

Why SCOE is a Smart Choice for Aspiring AI Engineers:

• Experienced faculty comprising industry practitioners.
• Equip students with communication, advanced theoretical knowledge, teamwork, leadership skills, and stress management in all facets of life, ethically.
• Strategic location in Mumbai, offering access to a vibrant tech ecosystem.
• Strong alumni network and industry connections.

Final Thoughts – Your Path to a Rewarding AI Career Starts Now

The future of AI careers is promising, with diverse opportunities and lucrative compensation. Pursuing a B.E.  in Artificial Intelligence and Machine Learning, mainly from institutions like SCOE, can set you on the path to success in this rapidly evolving field. Stay updated, continuously hone your skills, and embrace the AI revolution.

FAQs

Q1: Which job has the highest salary after a B.E. in AI and ML?

AI Research Scientist: Salaries ranging from ₹12-20 LPA. Machine Learning Engineer: Earning between ₹6–50 LPA, depending on the level of the position of the engineers. Both jobs have the highest salaries after a B.E. in AI and ML.

Q2: What is the future scope of Artificial Intelligence in India?

The AI sector in India is poised for exponential growth. Its applications span healthcare, finance, education, and more, leading to increased job opportunities and innovations.

Q3: How much does an AI engineer earn in India?

AI engineer salaries in India vary based on experience:

Entry-level: ₹5–8 LPA.

Mid-level: ₹10–18 LPA .

Senior-level: Up to ₹50 LPA.

The national average salary for AI engineers ranges between ₹10–15 LPA.

Q4: Can I get a job abroad after a B.E. in artificial intelligence?

Yes, countries like the U.S., UK, Canada, and Germany are prime destinations for AI talent due to high demand, competitive salaries, and educational opportunities—platforms like Jooble list numerous AI engineer job openings abroad. While a B.E. degree provides a solid foundation, pursuing further education or certifications can enhance your prospects in the international job market.

Q5: Is a B.E. in artificial intelligence and machine learning better than regular computer science?

B.E. in AI and ML offers specialised knowledge in emerging technologies, making it advantageous if you’re targeting careers specifically in AI/ML fields. However, a traditional Computer Science degree provides a broader foundation, covering various aspects of computing. Your choice should align with your career goals: opt for AI and ML if you’re sure about specialising in these areas, or choose Computer Science for a broader range of opportunities in the tech industry.