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AI Scientist

AI Scientist

epergne solutions
7-9 Years
Not Disclosed
  • Posted 15 hours ago
  • Be among the first 10 applicants

Job Description

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:-
  • Masters 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

More Info

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Key Skills

Label Studio

Hugging Face Transformers

quantisation

model optimisation techniques

MLflow

Horovod

knowledge distillation

Apache Arrow

multimodal AI

Generative AI

DeepSpeed

TensorBoard

reproducible research

DVC

FSDP

Diffusers

evaluation metrics

Large Language Models (LLMs)

About Company

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