Data Scientist

Key ResponsibilitiesResearch & InnovationStay updated with advancements in LLMs, transformer architectures, and multimodal systems.Evaluate emerging AI techniques, frameworks, and APIs for business applications.Explore real-time models, fine-tuning strategies, and inference optimization methods.Solution Design & PrototypingDesign innovative solutions for complex AI challenges using advanced LLMs.Develop proof-of-concepts (POCs) to validate technical feasibility.Rapidly prototype applications using modern AI frameworks and orchestration tools.Collaborate with cross-functional teams and subject matter experts.Production Development & EngineeringWrite clean, scalable, and maintainable production-level code.Build robust agentic workflows using frameworks like LangGraph, CrewAI, or similar.Implement advanced LLM capabilities such as tool calling, structured outputs, and multi-turn conversations.Design scalable and fault-tolerant architectures for real-time AI applications.Conduct code reviews and maintain high engineering standards.Experimentation & OptimizationDesign and execute experiments to evaluate model performance.Develop evaluation frameworks for LLM outputs and user experience.Optimize prompts, fine-tuning strategies, and inference performance.Perform A/B testing, benchmarking, and statistical analysis.

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