AIML Engineer

AI/ML Engineer

Long Term Contract

Remote

TaxTerm: C2C &W2

SummaryBuild train and deploy machine learning models with a focus on LLM fine-tuning and high-performance inference pipelines. You own models from experimentation through to reliable production serving.

Role Expectations

• 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.

Required Skills
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.

Value adds:
Distributed training experience (multi-GPU DeepSpeed FSDP).
Publications competition results or notable open-source ML work.
Experience with retrieval embeddings and evaluation frameworks.

Core Stack:
Python PyTorch Transformers LLM Fine-Tuning MLOps Prompt Engineering

Required Skills:

DEEP LEARNINGPYTHONAIPYTORCHML