The Infosys Machine Learning Internship 2026 offers students practical exposure to machine learning, artificial intelligence and data-driven projects.
Interns can learn how models are developed, tested, and applied to solve business and technology problems.
Infosys Machine Learning Interns can work with data scientists, software engineers, AI professionals and other technical teams.
Depending on the project, they can contribute to model development, data analysis, and AI-based applications.
The World Economic Forum’s Future of Jobs Report 2025 states that AI and big data are the fastest-growing skills, with 86% of employers expecting AI and information processing technologies to transform their businesses by 2030.
This highlights the growing importance of machine learning skills in the workplace.
Interns can gain practical experience in Python, machine learning algorithms, data preparation, model evaluation, and deep learning.
Some positions can also provide exposure to natural language processing, computer vision, and generative AI.
About Infosys Machine Learning Internship
Infosys is a global technology services and consulting company that helps businesses with digital transformation and technology solutions.
Its services include cloud computing, artificial intelligence, cybersecurity, software development, engineering and business consulting.
Founded in 1981, Infosys has grown into a global organisation with more than 328,000 employees.
The company operates across 59 countries and serves clients across different industries.
For fiscal 2026, Infosys reported revenue of ?1,78,650 crore.
Its FY2026 annual report also reported 3,28,594 employees globally.
Infosys has a significant presence in India, with offices and technology centres across the country.
India is an important part of its global technology, delivery and consulting operations.
Eligibility
Candidates applying for the Infosys Machine Learning Internship 2026 may need to meet requirements such as:
- Pursuing a bachelor’s, Master’s or PhD degree in Computer Science, Data Science, Artificial Intelligence, Mathematics or related field.
- Understanding basic machine learning concepts, including supervised and unsupervised learning.
- Knowledge of Python and other programming languages relevant to the position.
- Familiarity with machine learning libraries such as scikit-learn, TensorFlow or PyTorch.
- Basic knowledge of statistics, probability, and data analysis.
- Understanding of data preparation, feature engineering, and model evaluation.
- Knowledge of deep learning, natural language processing, or computer vision for relevant positions.
- Familiarity with SQL and databases for internships involving data processing.
- Basic knowledge of Git and version control.
- Strong analytical and problem-solving skills.
- Good written and verbal communication skills.
- Ability to work effectively with technical and cross-functional teams.
Roles & Responsibilities
A Machine Learning Intern at Infosys may be responsible for:
- Developing and testing machine learning models for assigned projects.
- Collecting, cleaning, and preparing datasets for analysis.
- Performing exploratory data analysis to identify patterns and trends.
- Applying machine learning algorithms to business and technology problems.
- Training and testing models using relevant datasets.
- Comparing different models and analysing their performance.
- Creating and selecting useful features from datasets.
- Evaluating models using appropriate performance metrics.
- Identifying errors and improving model performance.
- Supporting projects involving AI, NLP, computer vision, or predictive analytics.
- Working with data scientists and software engineers on project tasks.
- Supporting the integration of machine learning models into applications or data systems.
- Using Git and development tools to manage project code.
- Preparing technical documentation covering methods, findings, and results.
- Presenting project progress and findings to supervisors or project teams.
Application Process
Candidates interested in the Infosys Machine Learning Internship 2026 can follow these steps:
- Visit the official Infosys Careers website and search for Infosys Machine Learning internship opportunities.
- Review the job description and check the required degree, skills, location, duration, and eligibility criteria.
- Prepare a role-specific resume highlighting your education, programming skills, machine learning knowledge, and relevant experience.
- Highlight technical projects involving machine learning, deep learning, data analysis, NLP, computer vision, or generative AI.
- Include relevant GitHub projects, portfolios, certifications, research work, coursework or open-source contributions.
- Submit the application and provide the information and documents requested in the job posting.
- Shortlisted candidates may be contacted for assessments, technical evaluations, or interviews, depending on the position.
- Technical and behavioural interviews can cover Python, machine learning concepts, statistics, algorithms, data structures, project experience, and problem-solving.
Selection Process
The Infosys Machine Learning Internship selection process may include the following stages:
- Application Screening: The recruitment team reviews the candidate’s education, technical skills, projects, and overall profile.
- Technical Assessment: Candidates can be assessed on programming, machine learning, data analysis, and other technical concepts.
- Technical Interviews: Interviews can cover Python, machine learning algorithms, statistics, data structures, and role-specific technical knowledge.
- Project Discussion: Candidates can discuss academic, personal, or research projects and explain their approach, challenges and results.
- Coding or Problem-Solving Round: Candidates can solve programming, data-processing or machine learning-related problems.
- Behavioural Interviews: The interviewer assesses communication, teamwork, adaptability, and problem-solving abilities.
- Final Selection: Selected candidates receive an internship offer and complete the required onboarding process.
Benefits & Perks
Infosys Machine Learning Interns may receive:
- Internship compensation, depending on the role and location.
- Exposure to real-world machine learning and AI projects.
- Technical guidance from experienced professionals.
- Practical experience in machine learning, data analysis, and AI.
- Exposure to Infosys technology services and digital solutions.
- Opportunities to work with data scientists, engineers, and technical teams.
- Experience with relevant programming languages, frameworks, and development tools.
- Opportunities to improve technical and problem-solving skills.
- Professional development through project work, technical discussions, and presentations.
- Networking and exposure to a global technology and consulting environment.
FAQs
The Infosys Machine Learning Internship can include compensation. The amount and other benefits depend on the role and location. Candidates should check the specific internship posting for details.
The Infosys Machine Learning Internship does not have one fixed annual application date. Openings are posted based on hiring requirements, internship programmes and available positions.
Final-year students can apply for the Infosys Machine Learning Internship if they meet the education and other requirements mentioned in the specific internship posting.
Completing an Infosys Machine Learning Internship does not guarantee a pre-placement offer. Future employment depends on factors such as performance, business requirements, and available positions.
After submitting an Infosys Machine Learning Internship application, Infosys can review the candidate's profile against the job requirements. Shortlisted candidates can then be contacted for assessments or interviews.
Candidates can apply for another Infosys Machine Learning Internship opening if they meet its eligibility requirements. Each new job posting should be reviewed before applying.
Eligibility for the Infosys Machine Learning Internship depends on the individual job posting. Students from relevant technical and quantitative fields with suitable programming and machine learning skills can apply for relevant positions.
The Infosys Machine Learning Internship can require skills such as Python, machine learning, statistics, data analysis, model evaluation, and problem-solving. Some positions can also require knowledge of TensorFlow, PyTorch, SQL, or other technical tools.
Candidates should start checking Infosys Machine Learning Internship 2026 openings several months before their preferred internship period. Application timelines can differ by role and location.
There is no single deadline for every Infosys Machine Learning Internship 2026 position. Candidates should check the application deadline mentioned in the individual job posting.
There is no single GPA requirement for every Infosys Machine Learning Internship position. Academic requirements can vary, so candidates should check the specific internship description for the applicable criteria.
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