AI Innovator

10 hours ago

Belgaum, Karnataka, India beBeeArtificialintelligence Full time ₹ 20,00,000 - ₹ 30,00,000
Senior AI Researcher Position

This role combines in-depth AI research with hands-on system development, allowing you to conduct research, build, validate, and deploy groundbreaking AI capabilities end-to-end.

You will serve as a bridge between science and software, innovating on large language models (LLMs), prompt systems, evaluation frameworks, and algorithm pipelines—and bringing them to production-grade systems that power real users.

Key Responsibilities:

  • Tackle experiments in LLM training, LLM agent architectures, fine-tuning, reinforcement learning, and new evaluation methodologies.
  • Build code-first prototypes to test hypotheses and iterate rapidly—refactor them into production systems when experiments succeed.

Model & Architecture Innovation:

  • Develop and benchmark improvements in LLM architecture, fine-tuning workflows, and generation control.
  • Optimize for performance, resource efficiency, and interpretability.

Production Engineering:

  • Own infrastructure: from data pipelines and experiment sandbox to model serving, batch/online inference, logging, and CI/CD.
  • Treat experiments as software: automated tests, clear versioning, reproducibility, and documentation.

Scientific Experiment Tooling:

  • Create frameworks to automate scientific cycles: data generation, metric computation, model comparison dashboards.
  • Enable internal teams to run reproducible experiments at scale.

Knowledge Sharing & Publication:

  • Write up interesting findings—internal memos, tech blogs, or scholarship-worthy results.
  • Participate in code and science critique sessions with peers.

Requirements:

  • Master's or Ph.D. in CS, ML, or related fields (or equivalent experience)
  • Deep familiarity with LLMs, fine-tuning, reinforcement learning
  • Expert in Python + frameworks like PyTorch or JAX; experience with Hugging Face or deployed LLM APIs
  • Strong software engineering intuition: modular design, CI/CD, containerization, automated testing
  • Demonstrated track record in both research and production settings (e.g., prototypes published internally or externally)
  • Bonus: familiarity with Kubernetes, JAX compiler stacks (e.g. Flax, Alpa), Hugging Face Accelerate, or MLOps toolchains

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