Senior AI/ML Researcher

Big AIR Lab; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Big AIR Lab in Bengaluru, India seeks a Senior AI/ML Researcher (Ph.D) to lead a small R&D team focused on LLMs and predictive ML.

The role blends pure research with applied AI, mentoring 8–10 researchers and interns, publishing findings, and translating research into practical AI solutions. Strong PyTorch expertise and OOP skills required.

Qualifications

• Ph.D. or M.Tech in Computer Science, Artificial Intelligence, or related field; IIT preferred.
• Ph.D. candidates require no additional experience; M.Tech candidates need 6 months to 2 years of dedicated research experience.
• Proven research in LLMs or related AI domains with publications or conference talks.
• Strong expertise in PyTorch and other deep learning frameworks.
• Solid proficiency in Object-Oriented Programming (OOP).

Responsibilities

• Conduct independent research in LLMs and predictive ML.
• Lead, mentor, and manage a research team of seniors and interns.
• Publish research findings in journals or present at conferences.
• Develop and experiment with advanced AI/ML algorithms.
• Build, validate, and deploy models using PyTorch and DL frameworks.
• Apply rigorous OOP principles for scalable AI solutions.
• Collaborate with cross-functional teams to translate research into solutions.
• Provide thought leadership and strategic guidance within the organization.

Skills

Independent research

Leadership

Mentoring

Communication

Research strategy

Education

Ph.D. or M.Tech in CS/AI

Tools

PyTorch

Job description

Job Title: Senior AI/ML Researcher (Ph.D) Agentic AI & LLMs - R&D Leadership

Location: Bengaluru, India

About the Role

Big AIR Lab is building a dedicated R&D department, and we seek an independent and visionary Senior AI/ML Researcher to collaborate and guide a dynamic team of approximately 8-10 members, including interns.

This role encompasses a blend of pure research and applied AI, primarily focusing on Large Language Models (LLMs) and predictive machine learning models. The successful candidate will drive innovative research, mentor the team, and help translate advanced research outcomes into practical applications.

Key Responsibilities

• Conduct independent research in Large Language Models (LLMs) and related predictive machine learning fields.
• Lead, mentor, and manage a research team comprising of senior members and interns.
• Publish research findings in reputed journals (preferred) or present at leading conferences.
• Develop and experiment with advanced AI and machine learning algorithms.
• Build, validate, and deploy models using PyTorch and other deep learning frameworks.
• Apply rigorous Object-Oriented Programming principles for developing scalable AI solutions.
• Collaborate closely with cross-functional teams to transition research into applicable solutions.
• Provide thought leadership and strategic guidance within the organization.

Required Qualifications

• Ph.D. or M.Tech in Computer Science, Artificial Intelligence, or related fields. Preference given to candidates whose M.Tech/Ph.D. is from an IIT or research institutions.
• Candidates with a Ph.D. require no additional experience; candidates with M.Tech must have at least 6 months - 2 years of dedicated research experience.
• Proven track record of research in LLMs or related AI domains, demonstrated through journal publications (preferred) or high-quality conference presentations.
• Strong expertise in PyTorch and other related deep learning frameworks.
• Solid proficiency in Object-Oriented Programming (OOP).

Preferred Attributes

• Detail-oriented with a rigorous analytical mindset.
• Highly capable of conducting and guiding independent research.
• Strong written and verbal communication skills.
• Ability to clearly articulate complex research findings and strategic insights.

Why Join Big Air Lab?

• Lead groundbreaking research in cutting-edge AI technologies.
• Shape the direction of our newly formed R&D department.
• Enjoy significant professional growth, influence, and recognition within the AI research community.