LLM Fine-Tuning Expert

Location: Remote, United States
Job Type: Full-Time
Work Arrangement: Remote
Department: Data, Analytics & AI
Reports To: Head of AI / NLP Lead

Role Overview

We are seeking a highly skilled LLM Fine-Tuning Expert to adapt foundation models for domain-specific business needs through supervised fine-tuning, instruction tuning, evaluation, and optimization. This role is responsible for improving model performance for targeted enterprise use cases while balancing quality, latency, cost, robustness, and deployment readiness.

Key Responsibilities

• Fine-tune and optimize LLMs for targeted business and domain-specific use cases
• Prepare training data, instruction datasets, and model-ready examples for supervised tuning
• Run experiments to improve model quality, latency, efficiency, and cost performance
• Evaluate model outputs for accuracy, robustness, hallucination risk, and business relevance
• Collaborate with prompt engineering, NLP, and MLOps teams to support deployment readiness
• Document training methods, benchmarks, evaluation results, and improvement decisions

Required Qualifications

• Strong experience in machine learning and transformer-based architectures
• Hands-on experience with fine-tuning LLMs
• Proficiency in Python and major ML frameworks
• Strong understanding of evaluation, benchmarking, and model limitations
• Ability to analyze model behavior and improve performance for enterprise use cases

Preferred Qualifications

• Experience with PEFT, LoRA, quantization, RLHF, or alignment techniques
• Familiarity with distributed training and GPU environments
• Experience in domain adaptation for enterprise or industry-specific use cases
• Understanding of inference trade-offs involving quality, speed, and infrastructure cost
• Experience supporting production-oriented AI model deployment

Core Skills

• LLM fine-tuning
• Instruction tuning
• Transformer models
• Python
• Model evaluation
• Benchmarking
• Training data preparation
• Hallucination reduction
• Model optimization
• Enterprise AI adaptation