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    Job · 21249684

    DELHI · FULLTIME

    AI Scientist

    Epergne Solutions

    Epergne Solutions

    Delhi · onsite · Posted 5d ago

    Sourced fromFoundit
    Not disclosed7–9 yrsfulltimeDelhi

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    Section · 01

    About this role

    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

    Sourced from foundit

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    Section · 02

    Skills

    Multimodal AImlflowComputer VisionBenchmarkingHugging Face TransformersExperimentationevaluation metricsDiffusersTensorBoardPythonReproducible ResearchGenerative Ai

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