AI Scientist

Epergne Solutions; Chennai District; On-site; INR 350,000 - 780,000; Full time

Job summary

Epergne Solutions in Bengaluru, India seeks an AI Research Scientist to contribute to Generative AI, LLMs, multimodal AI and computer vision initiatives. You will implement cutting-edge research, optimize large-scale models, and collaborate with engineering teams to build scalable AI solutions.

Ideal candidates hold a Master’s or PhD in AI/CS with 7+ years of experience, have publications or contributions to AI projects, and are proficient in Python with PyTorch/TensorFlow.

Qualifications

• Advanced degree in AI/CS with research focus.
• Proven publication or contributions to AI projects preferred.
• Hands-on experience turning research into production-ready systems.

Responsibilities

• Implement and tailor cutting-edge AI research into prototypes and production models.
• Conduct experiments to boost model performance via fine-tuning and architecture optimization.
• Develop and curate training/evaluation datasets including synthetic data.
• Collaborate with engineering/product teams to deploy scalable AI solutions.
• Stay updated on AI advances and contribute to planning and innovation.
• Document experiments, findings, and contribute to patents/research assets.
• Ensure reproducibility, benchmarking, and responsible AI practices.

Skills

LLMs & Generative AI

Multimodal AI

Computer Vision

Python

PyTorch

TensorFlow

Distributed Training

Experimentation & Benchmarking

Education

Master's or PhD in Computer Science/AI

Tools

Hugging Face Transformers

Diffusers

MLflow

TensorBoard

DeepSpeed

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 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