LLM Fine-Tuning Expert

Job Title: LLM Fine-Tuning Expert
Department: Data, Analytics & AI
Reports To: Head of AI / NLP Lead

Role Overview

We are hiring an LLM Fine-Tuning Expert to adapt foundation models for domain-specific business needs through supervised fine-tuning, instruction tuning, evaluation, and optimization.

Key Responsibilities

• Fine-tune and optimize LLMs for targeted use cases
• Prepare training data and instruction datasets
• Run experiments on model performance, latency, and cost
• Evaluate quality, robustness, and hallucination risk
• Collaborate with prompt, NLP, and MLOps teams on deployment readiness
• Document training methods, benchmarks, and results

Required Qualifications

• Strong experience in machine learning and transformer-based architectures
• Hands-on experience with fine-tuning LLMs
• Proficiency in Python and ML frameworks
• Strong understanding of evaluation, benchmarking, and model limitations

Preferred Qualifications

• Experience with PEFT, LoRA, quantization, RLHF, or alignment techniques
• Familiarity with distributed training and GPU environments
• Experience in domain adaptation for enterprise use cases