The Infosys AI Research Scientist Internship 2026 provides students hands-on exposure to artificial intelligence research, machine learning and experimental development.
Interns can support research projects, test models, and explore AI methods for technology applications.
Infosys AI Research Scientist Interns can collaborate with AI researchers, machine learning engineers, software developers and technical teams.
Depending on the project, they can contribute to experiments, model development, data analysis, and research activities.
The World Economic Forum’s Future of Jobs Report 2025 states that 86% of employers expect AI and information processing technologies to transform their businesses by 2030.
This reflects the growing importance of AI research, machine learning, and related technical skills across industries.
Interns can gain practical experience in Python, machine learning, deep learning, model evaluation, and research methods.
Some projects can also involve natural language processing, computer vision, generative AI, or other AI applications.
About Infosys AI Research Scientist Internship
Infosys is a global technology services and consulting company that helps organisations with digital transformation and technology-related business needs.
Its services include cloud computing, artificial intelligence, cybersecurity, software engineering, data and digital transformation.
Founded in 1981, Infosys has developed a global workforce of 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 and 3,28,594 employees globally.
The company also reported 84% AI-aware employees and seven applied research centres in FY2026.
Infosys has a significant presence in India through its offices and technology centres.
India supports the company’s global technology delivery, consulting and research-related activities.
The company works on technologies including artificial intelligence, machine learning, generative AI, and data analytics.
These areas connect with research-focused roles involving experimentation, technical analysis, and development of AI solutions.
Eligibility
Candidates applying for the Infosys AI Research Scientist Internship 2026 may need to meet requirements such as:
- Pursuing a bachelor’s, Master’s or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics or a related field.
- Understanding machine learning and deep learning concepts.
- Knowledge of Python or another programming language used for AI development.
- Familiarity with frameworks such as PyTorch, TensorFlow, or JAX where relevant.
- Understanding of statistics, probability, linear algebra, and optimisation.
- Knowledge of model training, validation, and evaluation.
- Familiarity with natural language processing, computer vision, reinforcement learning, or generative AI for relevant positions.
- Ability to understand research papers and technical documentation.
- Experience with data preparation and experimental analysis.
- Familiarity with Git or other version-control tools.
- Strong research, analytical, and problem-solving skills.
- Good written and verbal communication skills and the ability to work with research and engineering teams.
Roles & Responsibilities
An AI Research Scientist Intern at Infosys may be responsible for:
- Reviewing research papers and technical information related to assigned AI problems.
- Supporting research experiments involving artificial intelligence and machine learning.
- Preparing datasets for model training and evaluation.
- Implementing machine learning and deep learning models.
- Testing different algorithms and technical approaches.
- Running experiments and recording research results.
- Evaluating models using relevant performance measures.
- Analysing experimental results and identifying areas for improvement.
- Supporting projects involving NLP, computer vision, generative AI or other AI areas.
- Performing data analysis to support research activities.
- Working with researchers and engineers on technical projects.
- Debugging code and investigating model performance issues.
- Using Git and development tools to manage research code.
- Preparing technical documentation and research summaries.
- Presenting research findings to relevant project teams.
Application Process
Candidates interested in the Infosys AI Research Scientist Internship 2026 can follow these steps:
- Visit the official Infosys Careers website and search for Infosys AI Research Scientist 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, AI skills, research experience, and technical projects.
- Highlight technical projects involving machine learning, deep learning, NLP, computer vision, generative AI, or other relevant research areas.
- Include relevant GitHub projects, portfolios, research work, certifications, coursework or open-source contributions where applicable.
- 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, deep learning, mathematics, algorithms, research projects, and problem-solving.
Selection Process
The Infosys AI Research Scientist Internship selection process may include the following stages:
- Application Screening: The recruitment team reviews the candidate’s education, research experience, technical skills, projects, and overall profile.
- Technical Assessment: Candidates can be assessed on programming, machine learning, mathematics, statistics, and AI concepts.
- Technical Interviews: Interviews can cover Python, machine learning, deep learning, algorithms, statistics, and role-specific research topics.
- Project Discussion: Candidates can discuss academic or research projects, including their methodology, experiments, challenges, and results.
- Coding or Problem-Solving Round: Candidates can solve programming, algorithmic or AI-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 AI Research Scientist Interns may receive:
- Internship compensation, depending on the role and location.
- Exposure to real-world AI research and machine learning projects.
- Technical guidance from experienced researchers and professionals.
- Practical experience in artificial intelligence and research activities.
- Exposure to AI, machine learning, and related technology solutions.
- Opportunities to work with researchers, engineers, and technical teams.
- Experience with relevant programming languages, frameworks, and research tools.
- Opportunities to improve research, analytical, and problem-solving skills.
- Professional development through experiments, technical discussions, and presentations.
- Networking and exposure to a global technology and research environment.
FAQs
The Infosys AI Research Scientist 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 AI Research Scientist Internship does not have one fixed annual application date. Openings can be posted according to research requirements, hiring cycles and available positions.
Final-year students can apply for the Infosys AI Research Scientist Internship if they meet the education and other requirements mentioned in the specific internship posting.
Completing an Infosys AI Research Scientist 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 AI Research Scientist 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 AI Research Scientist Internship opening if they meet its eligibility requirements. Applicants should review each new job posting before applying.
Eligibility for the Infosys AI Research Scientist Internship depends on the individual job posting. Students from relevant technical, mathematical or research backgrounds can apply for suitable positions.
The Infosys AI Research Scientist Internship can require skills such as Python, machine learning, deep learning, statistics, mathematics and research analysis. Specific requirements depend on the position.
Candidates should start checking Infosys AI Research Scientist Internship 2026 openings before their preferred internship period. Application timelines can differ by research area, role and location.
There is no single deadline for every Infosys AI Research Scientist Internship 2026 position. Candidates should check the application deadline mentioned in the individual job posting.
There is no single GPA requirement for every Infosys AI Research Scientist Internship position. Academic requirements can vary, so candidates should check the specific internship description.
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