Mid/Senior AI LLM Engineer
David Kennedy Recruitment (company site, opens in a new tab)MumbaiRemoteDirect career pageEst. 25–50 LPA
Posted 18h ago
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end training and fine-tuning of self-hosted large language models for AI conversational products.
- Prepare and improve datasets, develop evaluation methods, and optimize model performance including conversational memory and multilingual capabilities.
- Deploy models into production, monitor their performance, and collaborate across engineering and product teams for continuous improvement.
Minimum Requirements
- Proven hands-on experience fine-tuning open-weight AI language models and deploying them into production.
- Strong Python programming skills and experience with PyTorch and Hugging Face or similar ML tools.
- Experience with model training techniques including supervised fine-tuning, LoRA, QLoRA, and preference-based methods like DPO or GRPO.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced AI engineer familiar with self-hosting and deploying consumer-facing LLMs and comfortable managing uncensored and sensitive content.
- Skilled in practical GPU-based training, dataset construction, evaluation framework development, and issue troubleshooting with measurable impacts.
- Able to work effectively in a cross-functional setting involving AI engineering, product management, web development, and DevOps remotely within Europe.