AI Scientist

Epergne Solutions; Maharashtra; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Epergne Solutions seeks an AI Research Scientist to drive advanced work in Generative AI, LLMs, multimodal AI, and computer vision in Bengaluru, India. You will implement cutting‑edge research, optimise large‑scale models, and collaborate with engineering teams to deliver scalable AI solutions.

The role requires strong Python, ML frameworks, and experience deploying research into production; collaboration across product and engineering is essential. 7+ years ideal.

Qualifications

• Advanced degree in CS/AI/ML or related field.
• Proven track record in AI research, ML/DL projects, or publications.

Responsibilities

• Implement and adapt state‑of‑the‑art AI research into prototypes and production‑ready models.
• Conduct experiments to improve model performance via fine‑tuning, pruning, or distillation.
• Develop training/evaluation datasets, including synthetic data generation and benchmarking.

Skills

LLMs

Generative AI

Multimodal AI

Computer vision

PyTorch

TensorFlow

JAX

Distributed training

Education

Master’s or PhD in CS/AI/ML

Tools

Python

Hugging Face Transformers

MLflow

TensorBoard

DeepSpeed

FSDP

Horovod

Job description

We are seeking a highly skilled AI Research Scientist to contribute to advanced research and development in Generative AI, Large Language Models (LLMs), multimodal AI, and computer vision. The role involves implementing cutting-edge AI research, optimising large-scale models, building high-quality datasets, and collaborating with engineering teams to develop scalable AI solutions.

Job Role

AI Research Scientist

Job Location

Bengaluru, India

Experience

7+ Years

Role Summary

We are seeking a highly skilled AI Research Scientist to contribute to advanced research and development in Generative AI, Large Language Models (LLMs), multimodal AI, and computer vision. The role involves implementing cutting‑edge AI research, optimising large‑scale models, building high‑quality datasets, and collaborating with engineering teams to develop scalable AI solutions.

Key Responsibilities

• Implement and customise state‑of‑the‑art AI research papers into working prototypes and production‑ready models.
• Conduct experiments to improve model performance through fine‑tuning, prompt engineering, architecture optimisation, and evaluation.
• Develop and manage training and evaluation datasets, including synthetic data generation, annotation workflows, and benchmark creation.
• Collaborate with engineering and product teams to integrate AI research into scalable production systems.
• Stay current with advancements in AI research and contribute to research planning and technical innovation.
• Document experiments, technical findings, and contribute to patents, technical reports, and reusable research assets.
• Ensure reproducibility, benchmarking, and responsible AI practices across research activities.

Required Skills

• Strong expertise in Large Language Models (LLMs), Generative AI, multimodal AI, and computer vision.
• Experience implementing AI research papers from leading research conferences and publications.
• Proficiency in Python and AI/ML frameworks such as PyTorch, TensorFlow, or JAX.
• Experience with Hugging Face Transformers, Diffusers, MLflow, TensorBoard, or similar machine learning tools.
• Knowledge of distributed training frameworks such as DeepSpeed, FSDP, or Horovod.
• Experience with model optimisation techniques including quantisation, pruning, and knowledge distillation.
• Familiarity with data management and annotation tools such as DVC, Apache Arrow, or Label Studio.
• Strong understanding of evaluation metrics, benchmarking, experimentation, and reproducible research.

Qualifications & Experience

• Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Experience in AI research, machine learning, deep learning, or advanced AI technology development.
• Demonstrated experience developing AI prototypes, research models, or production‑ready AI systems.
• Publications, patents, or contributions to AI research or open-source projects are advantageous.

Preferred Attributes

• Strong analytical and problem‑solving abilities.
• Research‑oriented mindset with attention to experimentation and reproducibility.
• Ability to collaborate effectively across research, engineering, and product teams.
• Excellent technical communication and documentation skills