Senior Machine Learning Engineer
Strativ GroupAbout the role
We are working with a fast growing Series C healthcare AI company hiring a Machine Learning Engineer to focus on fine tuning open source language models for clinical products.
You will train adapt evaluate and deploy models that sit at the centre of the company’s platform.
Responsibilities
Fine tune open source models including Llama and Mistral
Build training evaluation and deployment pipelines
Improve model accuracy reliability latency and cost
Work with large healthcare datasets
Partner with product and engineering teams to ship models into production
Help shape the company’s model training and infrastructure strategy
Experience
Strong experience fine tuning open source language models
Hands on experience with PyTorch and modern training frameworks
Experience with LoRA QLoRA supervised fine tuning or preference optimisation
Strong Python and software engineering skills
Experience deploying machine learning models into production
Knowledge of distributed training cloud infrastructure or model serving
Package
Base salary up to 300000 dollars plus equity and benefits. Remote working schedule.
Responsibilities
- Fine tune open source models including Llama and Mistral
- Build training evaluation and deployment pipelines
- Improve model accuracy reliability latency and cost
- Work with large healthcare datasets
- Partner with product and engineering teams to ship models into production
- Help shape the company’s model training and infrastructure strategy
Qualifications
- Strong experience fine tuning open source language models
- Hands on experience with PyTorch and modern training frameworks
- Experience with LoRA QLoRA supervised fine tuning or preference optimisation
- Strong Python and software engineering skills
- Experience deploying machine learning models into production
- Knowledge of distributed training cloud infrastructure or model serving
Benefits
- Equity
- Remote working schedule
Skills mentioned
About Strativ Group
We are a multi award-winning team that does talent solutions. We live for innovation and work with ambitious businesses that make the world a better and safer place.