Machine Learning Jobs for Fresher

Reviewed by the OnJob Editorial Team — career researchers covering jobs, salaries and hiring across India. Questions? editorial@onjob.io

Machine learning is one of the fastest growing career fields in today’s digital world. With the rise of artificial intelligence, demand for machine learning jobs for fresher candidates has increased sharply across industries, and organisations from startups to multinationals now recruit at entry level.

If you are a beginner looking to start a career in artificial intelligence in India, this guide explains the job roles open to you, the skills and eligibility employers check, what the work pays, and how to get hired.

Which entry-level ML roles hire beginners?

Five job titles account for most entry-level hiring in the AI and ML domain, and they differ mainly in the kind of data each one works with — structured records, language, or images. Beginners usually enter through the analyst or engineer track and specialise later. The table below sets out each role and the skills it expects.

Apply Link	Description	Skills Required
Machine Learning Engineer	Build ML models and algorithms	Python, TensorFlow
Data Analyst	Analyze and interpret data	Excel, SQL, Python
AI Engineer	Develop AI based systems	ML, Deep Learning
NLP Engineer	Work on language processing	NLP, Python
Computer Vision Engineer	Work with images/videos	OpenCV, Deep Learning

What skills do employers check first?

Employers screening beginners look for a working foundation in three areas rather than mastery of any one: the ability to program, the ability to reason about data mathematically, and familiarity with the standard toolchain. The subsections below break down what each area covers, and a candidate who can show all three has cleared most first-round filters.

Which technical skills matter most?

Programming ability underpins everything else, because models are written, debugged and deployed in code. Python and R are the working languages, SQL is what you use to reach the data in the first place, and a grasp of algorithms and data structures is what interviewers actually test. The essentials are listed below.

• Programming: Python, R

• Machine Learning algorithms

• Data structures & algorithms

• SQL & database management

Which tools should you learn?

Tooling is standardised across the industry, which works in a beginner’s favour: the same handful of libraries appears in nearly every job description. Learning them gives you a vocabulary you can carry between employers, and each one is free to install and practise with on your own machine. The core set is below.

• TensorFlow

• Scikit learn

• Pandas & NumPy

• Jupyter Notebook

How much mathematics do you need?

Mathematics is where most self-taught candidates lose marks in interviews. Linear algebra explains how models represent data, probability underpins how they handle uncertainty, and statistics is what you use to judge whether a result means anything. A working understanding of the three topics below is enough to start.

• Linear algebra

• Probability

• Statistics

Having these skills increases your chances of landing AI and ML engineer roles.

Who is eligible to apply?

Eligibility for entry-level AI and ML roles in India is broader than most beginners expect. A technical degree helps, but employers weight demonstrable project work heavily, and certifications are treated as a bonus rather than a requirement. The table below summarises what recruiters typically look for on a fresher application.

Criteria	Details
Education	B.Tech, BCA, MCA, B.Sc (CS/IT)
Experience	Freshers can apply
Certifications	Optional but beneficial
Projects	Strong portfolio required

Freshers with hands-on projects can apply confidently for AI and ML openings even without formal experience.

What does a machine learning engineer course cover?

A machine learning engineer course walks through core concepts including data analysis, supervised and unsupervised learning, and deep learning. Many online platforms offer beginner-to-advanced tracks covering Python, AI models and real-world applications, and the ones worth taking include hands-on projects. Certification from a reputable platform strengthens a resume, but practical training is what employers actually respond to.

Module	Topics	Skills
Introduction to ML	Types of ML, applications	Basic understanding
Python Basics	NumPy, Pandas	Programming skills
Data Handling	Cleaning, preprocessing	Data preparation
Algorithms	Regression, classification	Model building
Deep Learning	Neural networks	Advanced modeling
NLP	Text processing	Language data skills
Deployment	APIs, cloud	Model deployment
Projects	Real world cases	Practical experience

Which companies hire ML beginners in India?

Hiring for entry-level AI work comes from five recognisable groups of employers, and they offer different trade-offs. Large IT services firms recruit in volume and train on the job; product companies and startups hire fewer people but give deeper technical exposure. The list below covers where beginner openings are most common.

• IT Companies (TCS, Infosys, Wipro)

• Product based companies

• AI startups

• E commerce companies

• Fintech companies

These organisations post entry-level AI and ML openings regularly through the year.

What do entry-level ML roles pay?

Pay for a beginner depends on skills, location and the type of company more than on the job title itself. Analyst roles start lowest because the skill bar is lowest, while AI and NLP engineering pay more for the deeper technical requirement. The table below gives approximate annual ranges in India for each entry-level role.

Job Role	Average Salary (India)
ML Engineer	₹4 – ₹8 LPA
AI Engineer	₹5 – ₹10 LPA
Data Analyst	₹3 – ₹6 LPA
NLP Engineer	₹4 – ₹9 LPA

How much does a machine learning engineer earn?

Machine learning engineer pay in India varies with skills, experience and location. Freshers can earn around ₹4–8 LPA, while experienced professionals reach ₹10–25 LPA or more. The highest offers usually come from product-based companies and startups, and skills in deep learning and big data lift the range further. Overall it remains one of the best-paid careers in tech.

Do internships lead to full-time offers?

Internships are the most reliable route into machine learning work in India, because they replace the experience that entry-level listings ask for. Four formats exist, and each trades pay against exposure — paid corporate placements offer both, unpaid and online ones mainly offer learning. The table below compares what each is good for.

Type of Internship	Benefits
Paid Internship	Earn while learning
Unpaid Internship	Gain experience
Online Internship	Work from home
Corporate Internship	Industry exposure

Internships help you transition into full-time AI and ML roles.

What is the outlook for ML careers?

Prospects for beginners entering this field look strong. AI adoption keeps spreading beyond technology companies into finance, healthcare, retail and manufacturing, which widens the pool of employers hiring at entry level and keeps pay competitive. The points below summarise why the demand curve continues to favour new entrants.

• Increasing demand in AI industry

• High paying job roles

• Opportunities in every sector

• Global career growth

With continuous learning, you can build a durable career in machine learning and artificial intelligence in India.

How do you become a machine learning engineer?

Start by learning a programming language such as Python and building a foundation in mathematics, statistics and data structures. Add knowledge of machine learning algorithms and tools like TensorFlow and Scikit learn, then work on real-world projects and publish a portfolio on GitHub. Internships and certifications improve your odds further, but consistent practice and problem solving are what get you hired.

What do freshers ask most often?

Questions from beginners cluster around six themes: the skills that get you screened in, how to present a resume with no work history, which employers actually hire at entry level, what interviewers ask, whether a fresher can realistically land a role, and what the first salary looks like. The answers below take each in turn.

What skills are required for a fresher ML role?

Freshers need Python, a working grasp of machine learning algorithms, data analysis and statistics to clear a first screening. Familiarity with TensorFlow and Scikit learn is expected in most job descriptions, and practical project experience is what separates two candidates with identical degrees. Show the project, do not just list the tool.

How should you write a resume with no experience?

Build the resume around projects, internships and technical skills rather than employment history, since that is what a reviewer is looking for in an entry-level application. Include GitHub links so the work can be inspected directly, list relevant certifications, and describe each project by what it achieved. Keep the document short, clear and achievement-based.

Which companies recruit ML freshers in India?

TCS, Infosys, Wipro and Accenture recruit at entry level in volume, and a growing number of AI startups hire beginners with strong project portfolios. Product-based companies also run fresher intakes, often with better packages than services firms, though the technical bar in their interviews is correspondingly higher.

What comes up in a junior ML interview?

Junior interviews concentrate on machine learning algorithms, Python coding, statistics and the projects listed on your resume. Expect to explain why you chose a particular model, how you evaluated it, and what you would do differently. Some employers add a practical exercise where you solve a small problem using a real dataset.

Can a fresher realistically get hired?

Yes. Freshers with demonstrable skills, completed projects and internship experience are hired into machine learning roles across India, because many employers would rather train a capable beginner than compete for scarce senior talent. What blocks candidates is usually a thin portfolio rather than a lack of formal qualification.

What is the starting salary for AI and ML freshers?

Starting pay for entry-level AI roles ranges between roughly ₹3 LPA and ₹10 LPA depending on your skills and the company hiring. High-demand titles such as machine learning engineer sit at the upper end of that band, while analyst roles start lower and rise as you take on modelling work.

Freshers can also apply for entry level jobs near me by Onjob.io.

Where should you start?

Demand for machine learning roles open to freshers keeps growing in India and globally. Pick one language and learn it properly, ship two or three projects you can explain end to end, and apply steadily rather than waiting until you feel ready. Consistency and practical work, not credentials alone, are what convert applications into offers.