Chief Deep Learning Architect

1 day ago

Alwar, Rajasthan, India beBeeArtificialIntelligence Full time ₹ 30,00,000 - ₹ 40,00,000

This role combines deep, publishable AI research with hands-on system development. As a bridge between science and software, you will innovate on LLMs, prompt systems, evaluation frameworks, and algorithm pipelines.

Expect to author experimental prototypes rich enough for academic-quality write-ups, then productize those same ideas into robust, reliable software.

ResponsibilitiesResearch Prototyping
  • Tackle experiments in LLM training, LLM agent architectures, fine tuning, RL, 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.

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