Data Scientist / GenAI Engineer
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Role details
Tech stack
Job description
- Design, test, and optimise LLM-driven solutions for real business use cases
- Create, refine, and manage high-quality prompts, workflows, and agent setups
- Rapidly prototype GenAI applications using existing tools, APIs, and platforms
- Evaluate LLM outputs for accuracy, bias, safety, and reliability
- Stay current with new LLM models, tools, and GenAI trends, and apply them pragmatically
- Collaborate with business and technical teams to translate ideas into working AI solutions
- Continuously improve the performance, efficiency, and cost-effectiveness of LLM usage
Selection Process:
- Interested Candidates are mandatorily required to apply through this listing on Jigya. Only applications received through this posting will be evaluated further.
- Shortlisted candidates may be required to appear in an Online Assessment and Screening interview administered by Jigya
- Candidates selected after the Jigya screening rounds will be interviewed by interview panel
Requirements
fast learners, Ownership, Frameworks - Langchain, LangGraph and other Generative AI frameworks, LLM finetuning, PyTorch, We are hiring GenAI/LLM practitioners who are hands-on, curious, and execution-focused. Strong practical experience with LLM tools, prompt engineering, and real-world GenAI applications is essential.
Skills & Requirements :
- Pytorch, LLM Finetuning, Frameworks - Langchain, LangGraph and other Generative AI frameworks
- Bachelor’’s degree or equivalent in a quantative field from a Tier 1 Institute (Computer Science Engineering, Statistics, Mathematics, etc.)
The ideal candidates are fast learners who understand both the capabilities and limitations of large language models, use them responsibly, and take full ownership of outcomes.
About the company
(*Note: This is a requirement for one of Uplers’ client - An AI company specializing in Generative AI-powered search solutions for e-commerce platforms.)
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