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HCLTech Gen AI Researcher Role Interview Preparation Guide
The Gen AI Researcher role at HCLTech sits at the intersection of deep learning research, domain-specific language modeling, and production-scale AI deployment. For those aiming to contribute to applied GenAI solutions — particularly through training and fine-tuning language models tailored for real-world use cases — this opportunity offers both technical depth and impact.
This guide outlines what the role entails, the core skills you need, and how to strategically prepare for each phase of the interview process.
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Role Overview: What HCLTech Is Looking For
At its core, the Gen AI Researcher position is focused on:
- Training and fine-tuning SLMs and LLMs for domain-specific use cases.
- Applying techniques like supervised fine-tuning, RLHF, LoRA, QLoRA, and other PEFT strategies.
- Building evaluation frameworks and improving model safety, reliability, and generalization.
- Integrating trained models into production environments using cloud and distributed systems.
- Publishing research findings and contributing to open-source and academic communities.