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Senior AI/ML Researcher – Large Language Models
Senior AI/ML Researcher – Large Language Models
IAI Solution Pvt Ltd's logo

Senior AI/ML Researcher – Large Language Models

Anjali Kanojiya's profile picture
Posted by Anjali Kanojiya
2 - 5 yrs
₹15L - ₹30L / yr
Bengaluru (Bangalore)
Skills
User Research
skill iconMachine Learning (ML)
Large Language Models (LLM) tuning
PyTorch
Predictive modelling
Publications
Artificial Intelligence (AI)

Job Title: Senior AI/ML Researcher – Large Language Models

Location: Bengaluru, India

Experience: Ph.D. or M.Tech (3–4 years research experience post-M.Tech)

Employment Type: Full-time


Company Overview

Big Air Lab (https://www.bigairlab.com/) operates at the edge of applied AI where foundational research meets real-world deployment. We craft intelligent systems that think in teams, adapt with context, and deliver actionable insights across domains.


Position Summary

We’re seeking a Senior AI/ML Researcher who lives and breathes large-scale models, algorithms, and cutting-edge machine learning. If you’re someone who wants to push boundaries in LLMs, predictive modeling, and applied AI research — while also guiding a team to turn theory into real-world solutions — this is your role.

You’re not just an academic — you’re a builder and a mentor. You’ll drive independent research, publish in reputed journals and conferences, and ensure that what’s on paper becomes code, experiments, and scalable AI solutions. You’ll lead from the front — coding, experimenting, mentoring, and showing what world-class research execution looks like.


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. in Computer Science, AI, or related fields (IIT or top-tier research institute preferred).
  • Candidates with Ph.D. require no additional experience.
  • M.Tech/MS in Computer Science, AI, or related fields from a top research institute with 3–4 years of dedicated research experience.
  • Proven track record of research in LLMs or related AI domains, demonstrated by at least:
  • 1 journal publication (preferred), or
  • 4 high-quality conference papers.
  • Strong expertise in PyTorch and other 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.


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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About IAI Solution Pvt Ltd

Founded :
2024
Type :
Product
Size :
20-100
Stage :
Profitable

About

Big Air Lab operates at the edge of applied AI where foundational research meets real-world deployment. We craft intelligent systems that think in teams, adapt with context, and deliver actionable insight across domains

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