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AI Research Scientist

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Onsite

AI Research Scientist

Epergne Solutions

AI Research Scientist

Skills

Deep LearningPythonPyTorchTensorFlowMachine LearningAI

2 months ago

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Important information


Contract type:

Permanent

Location:

Nagpur, Maharashtra, India

Work mode:

Onsite

Published on:

13 August 2026

What they need


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

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