Career Opportunities in Machine Learning: Jobs, Skills & Salary Trends

Career opportunities in machine learning are endless; it is an emerging field which will continue to grow in the future, and thus there are even high-paying careers in AI and ML. Machine learning allows us to learn from data, identify patterns, and make predictions or take decisions on behalf of humans and without human interventions. ML is a driving force behind many new technologies, including artificial intelligence, computer vision, and natural language processing.

In this blog, we will be talking about career options available after pursuing machine learning and how K.R. Mangalam University provides the top courses in AI and ML from its School of Engineering and Technology.

What is machine learning?

Machine learning could be defined as a subset of artificial intelligence that enables the systems to learn from data and improve their performance on specific tasks and projects without being specially programmed for them. Unlike traditional programming, where instructions are specially written for the programme to run, in machine learning there are no explicit instructions; algorithms learn from the data and adjust their behaviour accordingly.

There are different types of machine learning, including supervised learning (using labelled data), unsupervised learning (using unlabelled data), and reinforcement learning (learning through trial and error).

Machine Learning Career Scope

K.R. Mangalam University (KRMU) offers the following course for students who are interested in pursuing AI & ML.

1. B.Tech. Computer Science and Engineering (AI & ML) with academic support of IBM & powered by Microsoft Certifications

The B.Tech. CSE (AI & ML) is a four-year programme offered in collaboration with IBM, designed by academic and industry experts. It equips students to develop innovative AI and ML applications that address real-world challenges. The curriculum offers deep insights into AI and ML, along with access to globally recognised Microsoft certifications in AI, data analytics, and software development.

Duration: Four years.

Programme Fee / Year Rs. 265,000 (as of August 2025)

Eligibility: Minimum 50% in 10+2 with Physics and Maths, plus one subject from the approved science, technology, or vocational list.

Career Path in Machine Learning

Machine learning offers high-paying careers in AI and ML, and it is used in a wide range of applications, which includes image recognition, natural language processing, recommendation systems, fraud detection and more. Some of the jobs available in machine learning are as follows:

1. Machine Learning Engineer: Average Salary: ₹7–20 L (avg), up to ₹49 L senior*

2. Data Scientist: Average Salary: ₹6–10 (entry), ₹10–20 (mid), ₹30–60+ (lead)*

3. AI Research Scientist: Average Salary: ₹20–45 L*

4. NLP Engineer: Average Salary: ₹8–20 L*

5. Computer Vision Engineer: Average Salary: ₹10–25 L*

6. AI Product Manager: Average Salary: ₹17–37 L base; ₹30–40 L total; up to ₹60–94 L senior*

7. Generative AI Engineer (or GenAI Specialist): Average Salary: ₹20–22 L (posted); ₹8–19 L (experience-based)*

Note*: This data is collected from the internet, and the actual data may vary.

These are some of the high-paying careers in AI and ML.

Skills Required for AI and ML Jobs

Some of the skills required for AI and ML jobs are as follows:

• Programming languages: Python, R, Java, C++

• Mathematics: Linear algebra, calculus, probability, statistics

• Machine learning algorithms: Supervised, unsupervised, reinforcement learning

• Deep learning frameworks: TensorFlow, PyTorch, Keras

• Data handling: Data cleaning, preprocessing, SQL, NoSQL

• Natural Language Processing (NLP)

• Computer vision techniques

• Model evaluation & optimization: Cross-validation, hyperparameter tuning

• Big data tools: Hadoop, Spark

• Cloud platforms: AWS, Azure, Google Cloud AI services

• Version control: Git, GitHub

• Problem-solving & analytical thinking

• Strong communication skills for explaining complex models to non-technical stakeholders

Pursuing Machine Learning Courses From K.R. Mangalam University

KRMU is among the top universities to pursue AI and machine learning courses. Some of the reasons why students should choose the university are as follows:

1. Highly Qualified Faculty: KRMU has a team of highly qualified teachers and well-trained faculty members, along with professionals from the industry who are experts in their fields who are always there to help the students with real-life skills and knowledge to function in this competitive job market.
   
   

2. Holistic Development: The university focuses on an overall development of the students; thus, the focus is not just on theoretical studies but practical knowledge and hands-on training as well. KRMU encourages students to participate in both extracurricular and co-curricular activities at the campus as well.
   
   

3. International Exposure: Selective students from the campus are chosen to be taken on an international trip to a prestigious European institute for two to three weeks as a part of their summer training programme; this helps the students to get inspired by foreign art and craft.
   
   

4. 100% Job Assistance: The Career development centre at KRMU is a team of professionals who help the students to find good internships and jobs after their graduation. They are also responsible for teaching students about basic life skills and tech skills as well.
   
   

5. State-of-the-art facilities: The college offers world-class facilities on the college campus, from smart-class rooms to well-equipped labs and well-stocked libraries. There are sports facilities available as well, like badminton, football, and basketball courts and chess rooms. The university also has two cafeterias in each block which offer both hygienic food and a good ambience.

Admission Process at KRMU

If you’re wondering where to pursue a machine learning course or an engineering course at a reputed college or university and get good internship opportunities, K.R. Mangalam University should be your choice. We recommend checking the eligibility criteria first. Once you meet the eligibility criteria, you need to follow the following steps to take admission at KRMU:

• Visit admissions.krmangalam.edu.in to initiate the application

• Fill in the application form and pay the required application fee

• Appear for an entrance exam, KREE (if applicable)

• Attend the faculty-led interview

• After a successful interview, you’ll receive the admission offer letter on your registered email ID

• Get enrolled

Conclusion

Career opportunities in machine learning are many, and they can be achieved through pursuing an undergraduate programme in AI & ML from one of the top universities in the entire Delhi NCR region, that is, K.R. Mangalam University. The university offers a lot of benefits, like there’s a highly qualified faculty at the campus, and they focus on a holistic development of the students by providing both theoretical and practical hands-on training.

Students can get jobs like an NLP engineer or a research scientist after completing their graduation. For the individuals who are looking forward to taking admission in KRMU, click this link.

FAQs

1. What is the future of machine learning?
   Ans: The future of machine learning (ML) is one of increasing power, accessibility, and integration across various industries.
   
   

2. How much on average does a machine learning graduate earn?
   Ans: According to the internet, an average machine learning graduate earns ₹7 to ₹35 LPA (Lakhs per annum) in India.
   
   

3. Are machine learning and artificial intelligence the same?
   Ans: No, machine learning and artificial intelligence (AI) are not the same, though they are closely related. Machine learning can be defined as a subset of AI.