As a Research Analyst, you will implement classical ML models and LLM based inferences to solve defined problems. You'll work closely with senior scientists and engineers, contributing to model development, evaluation, and optimization.

Key job responsibilities
• Implement machine learning models (classical ML covering classification and regression models) using Python and ML frameworks
• Develop and iterate prompts for LLMs using few-shot, CoT, and instruction-based techniques
• Conduct offline evaluations and benchmarking / testing on LLM and ML outputs
• Collaborate with engineers to deploy models in production and monitor performance
• Document experiments and results; participate and brief milestones in weekly sprint planning and model reviews

Expectations
• Demonstrates hands-on skills in Python and ML/LLM toolkits
• Understands trade-offs between Generative AI vs. Machine Learning approaches
• Can deliver scoped ML components with guidance
• Effective communicator and team collaborator