AI Scientist

Epergne Solutions; Bengaluru; Sur place; INR 3 500 000 - 7 000 000; Plein temps

Résumé du poste

Epergne Solutions seeks an AI Research Scientist to advance Generative AI, LLMs, multimodal AI, and computer vision. You will turn cutting-edge research into scalable prototypes and collaborate with product teams to deploy production-grade AI systems.

You will lead experiments, data pipelines, and evaluation benchmarks while ensuring reproducibility, responsible AI practices, and strong technical documentation. Bengaluru-based role with aggressive learning opportunities.

Qualifications

• Master's or PhD in Computer Science, AI, ML or related field.
• Experience in AI research, ML/DL, or advanced AI tech development.
• Proven track record in developing AI prototypes, research models, or production-ready systems.

Responsabilités

• Implement and adapt state-of-the-art AI research papers into prototypes and production-ready models.
• Conduct experiments to improve model performance via fine-tuning, prompt engineering, and architecture optimisation.
• Develop and manage training/evaluation datasets, including synthetic data and benchmarks.
• Collaborate with engineering/product teams to integrate AI research into scalable systems.
• Stay updated with AI research progress and contribute to planning and innovation.
• Document experiments and findings; contribute to patents, reports, and reusable assets.
• Ensure reproducibility, benchmarking, and responsible AI practices across activities.

Connaissances

LLMs

Generative AI

Multimodal AI

Computer Vision

Python

PyTorch

TensorFlow

JAX

Hugging Face

Diffusers

MLflow

TensorBoard

Distributed training

Model optimization

Data annotation tools

Reproducible research

Formation

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

Outils

DeepSpeed

FSDP

Horovod

DVC

Label Studio

Apache Arrow

Description du poste

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