AI Research and Development Intern
Laneway
Posted 13 Nov 2026, 10:30 IST · Last seen open on LinkedIn 13 Nov, 11:14 IST
This job at a glance
- Who can apply
- Freshers and up to 1 year
- Must know
- Machine learningPythonPyTorchTensorFlowscikit-learn
- Work
- On-site in Greater Bengaluru Area · internship
- Pay
- Not stated by the employer.
- Skill demand
- Machine learning58%Python57%PyTorch19%TensorFlow17%of 99 similar fresher jobs posted in India this week
- Listed
- 13 Nov 2026 · still open
Sign in free to see which of these skills your resume already shows.
About the Role
The AI Research and Development Intern role at Laneway is a remote internship focused on supporting the design, experimentation, and evaluation of AI-driven solutions within the company's consulting and technology service lines. This position offers exposure to real-world AI projects, structured mentorship, and opportunities to learn best practices in R&D and innovation.
Key Responsibilities
- Conduct literature reviews.
- Gather and analyze data.
- Contribute to research plans that inform AI prototypes and business use cases.
- Assist in model experimentation.
- Document methodologies and outcomes.
- Prepare clear summaries or reports for internal teams and clients.
- Collaborate with consulting and technology teams to translate research insights into practical applications.
- Participate in virtual meetings and brainstorming sessions.
Requirements & Tech Stack
- Foundational knowledge of AI/ML concepts.
- Programming skills (e.g., Python).
- Experience with common libraries or tools (such as TensorFlow, PyTorch, or scikit-learn) is beneficial.
Qualifications
- Strong Research and Development (R&D) skills, including familiarity with experimental design and innovation processes.
- Solid Analytical Skills and Research capabilities to collect, interpret, and synthesize quantitative and qualitative data.
- Clear Communication skills to explain technical concepts, prepare documentation, and collaborate with multidisciplinary teams.
- Relevant Laboratory Skills or practical experimentation experience, whether in academic, project, or applied AI settings.
- Current enrollment in or recent completion of a degree program in Computer Science, Data Science, Engineering, Mathematics, or a related field is preferred.
- Ability to work independently in a remote environment, manage time effectively, and adapt to evolving project requirements.
- Demonstrated curiosity, problem-solving mindset, and interest in applying AI to business and innovation challenges.