AI Scientist

Epergne Solutions; Mumbai; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Epergne Solutions in Bengaluru, India seeks an AI Research Scientist to advance Generative AI, LLMs, multimodal AI and computer vision. The role focuses on implementing cutting-edge AI research, optimizing large-scale models, building high-quality datasets, and partnering with engineering teams to deliver scalable AI solutions.

Ideal candidates will have a Master’s or PhD in CS/AI/ML, strong publishing track, experience with PyTorch, Transformers, and distributed training; a collaborative,

Qualifications

• Master’s or PhD in Computer Science, AI or ML
• Experience in AI research, machine learning, deep learning or advanced AI tech development
• Publications, patents or open-source contributions are advantageous

Responsibilities

• Implement and customise state-of-the-art AI research papers into 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.

Skills

LLMs

Generative AI

Multimodal AI

Computer vision

Education

Master's or PhD in Computer Science/AI/ML

Tools

PyTorch

TensorFlow

JAX

Hugging Face Transformers

MLflow

TensorBoard

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