Remote AI/ML Engineer: LLM Fine-Tuning & Production

Tharu Technologies LLC; Bellevue (AL); On-site; USD 165,000 - 331,000; Full time

Job summary

Tharu Technologies LLC is seeking an AI/ML Engineer for a long-term remote contract. You will build, train, and deploy ML models with a focus on LLM fine-tuning and high-performance inference pipelines, owning models from experimentation through production serving.

Requirements include 5+ years in ML/AI engineering, strong Python and PyTorch, hands-on LLM fine-tuning, and experience with inference pipelines and MLOps. Remote work option with C2C & W2 tax terms.

Qualifications

• 5+ years in ML/AI engineering; proven track record shipping models to production.
• Strong Python and deep learning with PyTorch; solid understanding of the Transformer architecture.
• Hands-on LLM fine-tuning experience (LoRA/PEFT, quantization, or full fine-tuning).
• Experience building inference/serving pipelines and measuring model performance.
• Comfortable with experiment tracking, versioning, and MLOps fundamentals.

Responsibilities

• Train, fine-tune, and evaluate models — including LLMs via full fine-tuning, LoRA/PEFT, and instruction tuning.
• Build and optimize inference pipelines for latency, throughput, and cost (batching, quantization, caching).
• Design data pipelines and datasets for training and evaluation; ensure data quality and reproducibility.
• Implement rigorous offline and online evaluation, benchmarking, and regression testing for models.
• Partner with platform engineers to deploy models to production with monitoring and rollback.
• Stay current with model architectures and translate research into practical improvements.

Skills

ML/AI engineering

Python programming

Experiment tracking

Tools

Python

PyTorch

Transformers

LLM Fine-Tuning

MLOps

Prompt Engineering

Job description

Tharu Technologies LLC is seeking an AI/ML Engineer for a long-term remote contract. You will build, train, and deploy ML models with a focus on LLM fine-tuning and high-performance inference pipelines, owning models from experimentation through production serving.

Requirements include 5+ years in ML/AI engineering, strong Python and PyTorch, hands-on LLM fine-tuning, and experience with inference pipelines and MLOps. Remote work option with C2C & W2 tax terms.