Data Scientist

TIGI HR; India; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

A technology solutions company in India is seeking a skilled professional to design and implement advanced AI solutions using LLMs. The role involves developing proof-of-concepts and collaborating with cross-functional teams to solve complex AI challenges. Ideal candidates should have experience with transformer architectures, multimodal systems, and modern AI frameworks. The position emphasizes writing scalable code and optimizing AI applications for performance.

Qualifications

• Experience with LLMs, transformer architectures, and multimodal systems.
• Familiarity with AI frameworks and modern prototyping tools.

Responsibilities

• Design innovative AI solutions using advanced LLMs.
• Develop proof-of-concepts (POCs) to ensure feasibility.
• Implement advanced LLM capabilities such as tool calling.

Job description

Stay 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 & Prototyping

Design 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.

Write 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.

Design 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.