Machine Learning Engineer, Travtus

• This is a role for an experienced Machine Learning Engineer who works hands-on fine-tuning and deploying LLMs and data models into production within a commercial setting
• Have deep, expert level experience with Python development
• Established application development experience in Service Oriented Architectures
• Experience implementing Transformers (ideally, HuggingFace)
• Fine-tuned Transformer Models (ideally with AWS sagemaker but not essential)
• Experience deploying models and hosting via an API (AWS is preferred)
• Experience writing AWS Lambda functions

Desirable

• As a Machine Learning Application Engineer in the team, you will be involved in Application Development, implementing and fine-tuning LLMs and Transformer Models
• Primarily a delivery function, you will work closely with Analysts and Engineers to breathe life into our products
• Design, implement and maintain Machine Learning Model pipelines
• Train and fine-tune LLMs
• Define infrastructure requirements and architecture for Model Training and Inference
• Measure and review the performance of production models, performing evaluation and tuning
• Work closely as a part of the software development team to deploy models into production