Top 10 Product-Based Companies for Machine Learning Freshers in India 2026

Product-Based Companies for Machine Learning Freshers are employers that build their own technology products and recruit early career talent for machine learning, data science, AI engineering, applied science, and related software roles.

The best Product-Based Companies for Machine Learning Freshers in 2026 look for strong foundations in Python, statistics, machine learning, SQL, software engineering, and practical projects rather than certificates alone.

TL;DR

Product-Based Companies for Machine Learning Freshers worth tracking in India include Google, Microsoft, Amazon, NVIDIA, Adobe, Apple, Salesforce, Atlassian, Flipkart, and Intel. The exact role names vary, so search for Machine Learning Engineer, Data Scientist, Applied Scientist, AI Engineer, Research Engineer, ML Software Engineer, and graduate data roles.

When comparing Product-Based Companies for Machine Learning Freshers, focus on the actual job description, degree requirements, project expectations, programming skills, and whether the role is designed for graduates, interns, or experienced candidates.

Product-Based Companies for Machine Learning Freshers can be attractive because the work is connected directly to products, platforms, recommendation systems, search, cloud AI, generative AI, computer vision, analytics, and intelligent user experiences.

However, not every employer uses the title “Machine Learning Engineer” for entry level hiring. Some Product-Based Companies for Machine Learning Freshers recruit through graduate software engineering, data science, AI engineering, research, applied science, or university programs.

This updated 2026 guide therefore removes unreliable live opening counts and broad salary figures. Instead, it compares where machine learning is used, what freshers should prepare, and which early career routes are worth monitoring.

Top Product-Based Companies for Machine Learning Freshers in India 2026

The following Product-Based Companies for Machine Learning Freshers have active AI, machine learning, data science, engineering, research, or early career ecosystems that make them relevant companies to track in India.

This does not mean every company has a fresher ML vacancy at all times. Product-Based Companies for Machine Learning Freshers change hiring needs throughout the year, so verify each current role on the official careers page.

Quick Comparison of the Top Companies

Use this table to compare Product-Based Companies for Machine Learning Freshers by ML focus, fresher route, and the skills you should prepare before applying.

Comparing Product-Based Companies for Machine Learning Freshers this way is more useful than comparing changing opening counts.

A good shortlist of Product-Based Companies for Machine Learning Freshers should match your degree, skills, location, and preferred ML area.

1. Google

Google, a pioneer in technology, continues to be a frontrunner in ML. With products like Google Search, Google Photos, and TensorFlow, the company provides an ideal environment for freshers to work on diverse ML projects. Google’s commitment to innovation and the vast scope of its projects make it an exciting workplace for budding ML engineers.

Google remains a strong company to track machine learning work connected to Search, YouTube, Google Cloud, language technologies, recommendations, computer vision, and large scale software systems.

Best suited for: Freshers with strong computer science fundamentals, Python or C++, algorithms, statistics, machine learning, and practical projects.

Fresher route to watch: University, graduate, software engineering, data, research, and AI related openings depending on the hiring cycle.

• Link to Apply: Google
• No of openings: 203
• The average salary for a Machine Learning Engineer: 57.3 LPA

2. Atlassian

Atlassian should replace Meta in this India focused refresh because it explicitly lists Data, Analytics, and Machine Learning as an early career path and publishes India recruitment periods for graduates and interns.

Best suited for: Python, statistics, SQL, experimentation, machine learning, product thinking, and communication.

Fresher route to watch: India graduate and internship programs, including data, analytics, and machine learning pathways.

3. Microsoft

Microsoft is not just a software giant; it’s also a key player in AI and ML. Azure Machine Learning, Microsoft’s cloud-based ML platform, is a testament to its commitment to the field. Fresh ML engineers at Microsoft get the chance to work on a variety of projects, from natural language processing to computer vision.

Microsoft applies machine learning across Copilot, Azure, search, security, productivity products, cloud services, and developer tools.

Microsoft also maintains recent graduate programs that help eligible new employees transition from university into full time roles.

Best suited for: Candidates with Python or C#, data structures, ML basics, model evaluation, cloud fundamentals, and software engineering skills.

Fresher route to watch: Recent graduate and university hiring routes along with role specific AI and engineering openings.

• Link to Apply: Microsoft
• No of openings: 260
• The average salary for a Machine Learning Engineer: 53.4 LPA

Before landing into Machine Learning, read and understand the prerequisites to become a Machine Learning Engineer.

4. Amazon

Amazon’s relentless focus on customer experience is powered by machine learning. With applications ranging from supply chain optimization to personalized recommendations on the e-commerce platform, Amazon provides an exciting playground for ML enthusiasts. Freshers here can contribute to projects with real-world impact.

Amazon uses machine learning across recommendations, search, forecasting, fraud detection, supply chain, advertising, pricing, and customer experience.

Amazon’s India careers portal continues to include machine learning and applied science work, while its university hiring routes provide entry points for students and graduates.

Best suited for: Candidates strong in Python, probability, statistics, algorithms, machine learning fundamentals, experimentation, and problem solving.

Fresher route to watch: University internships, graduate engineering roles, and selected applied science or ML opportunities depending on team and degree requirements.

• Link to Apply: Amazon
• No of openings: 500+
• The average salary for a Machine Learning Engineer: 24 LPA

Make sure you understand machine learning fundamentals like Python, SQL, deep learning, data cleaning, and cloud services before we explore them in the next section. You should consider joining HCL GUVI’s Artificial Intelligence & Machine Learning Course, which covers tools like Pyspark API, Natural Language Processing, and many more and helps you get hands-on experience by building real-time projects.

Also, if you want to explore Artificial Intelligence and Machine Learning through a Self-paced course, try HCL GUVI’s Artificial Intelligence Course.

5. Flipkart

Flipkart should replace IBM in this list because its dedicated Data Science team applies machine learning to Search and Discovery, Supply Chain, Fintech, Consumer Experience, fraud modelling, and demand shaping in India.

Best suited for: Python, statistics, supervised and unsupervised learning, model evaluation, SQL, experimentation, and practical problem solving.

Fresher route to watch: Data science, analytics, engineering, internship, and role specific openings according to current requirements.

Official Careers:
https://www.flipkartcareers.com/

6. Apple

Apple should replace Tesla in the updated list because it has a clearer India machine learning presence in 2026.

Apple’s careers portal has listed machine learning and AI roles in Bengaluru and Hyderabad across Apple Intelligence, applied machine learning, data platforms, search, and intelligent product experiences.

Best suited for: Python, ML fundamentals, deep learning, NLP, data structures, model evaluation, and production software skills.

Fresher route to watch: University and graduate opportunities when available, along with AI/ML software, data, and platform roles.

7. NVIDIA

NVIDIA, known for its graphics processing units (GPUs), is a key player in the ML hardware space. Working here offers the chance to contribute to the development of hardware that powers deep learning. Fresh engineers can be involved in projects pushing the boundaries of AI computing.

NVIDIA is one of the most relevant Product-Based Companies for Machine Learning Freshers interested in deep learning, accelerated computing, GPUs, computer vision, generative AI, and AI infrastructure.

Its 2026 careers listings include New College Graduate positions that mention machine learning, deep learning, Python, PyTorch, and AI workloads.

Best suited for: Python, C++, PyTorch, deep learning, linear algebra, and CUDA or computer architecture for hardware adjacent roles.

Fresher route to watch: New College Graduate roles, internships, software engineering, AI research, architecture, and developer technology roles.

• Link to Apply: NVIDIA
• No of openings: 475
• The average salary for a Machine Learning Engineer: 7 LPA

8. Adobe

Adobe, synonymous with creative software, has embraced ML to enhance its products. From image recognition in Adobe Stock to AI-powered features in Photoshop, Adobe provides a unique platform for ML engineers with a creative flair. Freshers can be part of the intersection of art and technology.

Adobe is worth tracking for generative AI, creative intelligence, personalization, document intelligence, computer vision, and product analytics.

Adobe’s current careers site highlights AI innovation as well as internships, university opportunities, and new graduate programs.

Best suited for: Python, machine learning, deep learning, NLP or computer vision, data structures, experimentation, and software engineering.

Fresher route to watch: University opportunities, new graduate programs, engineering, product, and research teams.

• Link to Apply: Adobe
• No of openings: 213
• The average salary for a Machine Learning Engineer: 17 LPA

9. Salesforce

Salesforce, a leader in customer relationship management (CRM), incorporates ML for predictive analytics and intelligent automation. Fresh ML engineers at Salesforce can contribute to enhancing customer experiences through the application of machine learning in CRM and business processes.

Salesforce is relevant as AI becomes more deeply integrated into Agentforce, CRM intelligence, retrieval, recommendations, automation, and enterprise products.

Salesforce also maintains Futureforce pathways for interns and new graduates, while its India engineering organisation continues to work on AI and machine learning products.

Best suited for: Python, machine learning, NLP, LLM concepts, APIs, data engineering basics, and software development.

Fresher route to watch: Futureforce internships, new graduate roles, data science, engineering, and advanced degree opportunities.

• Link to Apply: Salesforce
• No of openings: 683
• The average salary for a Machine Learning Engineer: 19 LPA

10. Intel

Intel, a giant in semiconductor manufacturing, is deeply involved in the development of AI hardware. Working here offers the opportunity to contribute to the creation of processors optimized for machine learning workloads. Freshers can be part of the innovation driving AI hardware evolution.

Intel remains relevant for candidates interested in AI software, hardware acceleration, edge AI, computer vision, performance engineering, and semiconductor linked machine learning.

Best suited for: Python, C or C++, machine learning, computer architecture, optimization, Linux, and deep learning frameworks depending on the role.

Fresher route to watch: Graduate engineering, software, AI, research, and internship opportunities according to team and location.

• Link to Apply: Intel
• No of openings: 97
• The average salary for a Machine Learning Engineer: 14 LPA

You can definitely opt for internships before landing a full-time job opportunity. And to obtain an internship, you should follow some powerful steps. These steps will help you grab wonderful internship opportunities.

What Skills Do Product-Based Companies for Machine Learning Freshers Expect in 2026?

Product-Based Companies for Machine Learning Freshers usually expect a combination of machine learning knowledge and software engineering ability.

Build these foundations first:

• Python
• SQL
• Probability and statistics
• Supervised and unsupervised learning
• Feature engineering
• Model evaluation
• Data structures and algorithms
• Git
• One main ML framework such as PyTorch or TensorFlow

For stronger applications to Product-Based Companies for Machine Learning Freshers, add one or two complete projects where you can explain the problem, dataset, preprocessing, model choice, evaluation metric, limitations, and how you would deploy or improve the solution.

If you need a structured learning path, follow HCL GUVI’s Machine Learning Engineer roadmap.

For roles increasingly combining traditional ML with LLMs, RAG, MLOps, cloud, and deployment, also review HCL GUVI’s AI Engineer Skills Roadmap for 2026.

How Should Freshers Build an ML Portfolio for Product Companies?

A portfolio for Product-Based Companies for Machine Learning Freshers should show that you can move beyond notebook experiments and explain an end to end problem.

Build three or four projects across different areas such as:

• Classification
• Regression
• NLP
• Recommendation systems
• Computer vision
• Time series
• An ML powered web application

For every project, include:

• Clean GitHub repository
• README
• Dataset source
• Problem statement
• Data preprocessing steps
• Model choice
• Evaluation metrics
• Results
• Limitations
• Instructions to run the project

Use HCL GUVI’s Machine Learning Project Ideas with Source Code to find beginner, intermediate, and advanced projects you can build for your portfolio.

Once you understand model building, HCL GUVI’s MLOps Roadmap can help you understand model deployment, experiment tracking, pipelines, and production workflows.

How Do You Find Fresher ML Openings in Product Companies?

Do not search only for “Machine Learning Engineer Fresher.”

Product-Based Companies for Machine Learning Freshers may publish suitable opportunities under titles such as:

• Graduate Software Engineer
• Data Scientist
• Applied Scientist
• AI Engineer
• Research Engineer
• Machine Learning Software Engineer
• Data Analyst
• Machine Learning Intern
• AI/ML Intern

Search official company career pages and early career portals.

Set job alerts and check graduate recruitment windows because some companies open university roles only during specific periods.

Always read the qualification section carefully. Some machine learning positions require a postgraduate degree or previous research experience, while others accept recent graduates with strong programming, data, and project skills.

How Should You Prepare for ML Interviews at Product Companies?

Interviews at Product-Based Companies for Machine Learning Freshers can test much more than definitions of machine learning algorithms.

Prepare:

• Python coding
• SQL
• Probability and statistics
• Supervised and unsupervised learning
• Bias and variance
• Feature engineering
• Model selection
• Evaluation metrics
• Data structures and algorithms
• Your own ML projects
• Basic deployment concepts where relevant

Be prepared to explain why you selected a particular model, what alternatives you considered, how you evaluated performance, what failed, and how you would improve the solution with more data or production constraints.

Common Mistakes Freshers Should Avoid

1. Applying Only Because the Company Is Famous

A famous employer may not currently have an entry level role that matches your skills.

Fix: Compare the actual role, team, qualifications, and work before applying.

2. Listing Too Many ML Tools

Knowing the names of TensorFlow, PyTorch, LLMs, and MLOps tools is not the same as understanding a machine learning workflow.

Fix: Be able to explain data preparation, model selection, evaluation, and results.

3. Using the Same Resume Everywhere

Using the same resume for every Product-Based Companies for Machine Learning Freshers application can hide the skills most relevant to the role.

Fix: Adjust projects, skills, and keywords according to the actual job description.

4. Showing Only Tutorial Projects

Copied projects make it difficult to assess your problem solving ability.

Fix: Add your own feature, dataset, experiment, comparison, or deployment approach.

5. Ignoring Software Engineering

Machine learning roles can still test coding, algorithms, SQL, APIs, Git, and system fundamentals.

Fix: Prepare both machine learning concepts and general engineering skills.

Want to get into the top Product-Based Companies for Machine Learning Freshers? You should register for some quality courses on Machine Learning in order to grab wonderful jobs as a fresher. Keeping that in mind, we have a course on Machine Learning, which is specially designed for beginners/freshers, covering all the important concepts, and that too, at a very affordable price.

Build Your Machine Learning Foundation with HCL GUVI

If you want to prepare for Product-Based Companies for Machine Learning Freshers, start with strong foundations in Python, statistics, machine learning, deep learning, NLP, and practical model development.

HCL GUVI’s Artificial Intelligence and Machine Learning Programme covers machine learning, deep learning, LLMs, RAG systems, AI agents, deployment workflows, and practical projects through structured learning.

Use the program alongside your own GitHub projects and company specific interview preparation so you can explain both the theory and practical decisions behind your work.

Conclusion

Product-Based Companies for Machine Learning Freshers in 2026 include global technology companies and India focused product businesses working across search, recommendations, cloud AI, generative AI, computer vision, data science, enterprise software, and intelligent platforms.

Do not choose a company using changing opening counts or one broad salary figure. Shortlist Product-Based Companies for Machine Learning Freshers based on the exact role, required degree, ML area, coding expectations, location, and early career route, then build projects that prove you can apply the skills listed in the job description.

FAQs