Designing and implementing machine learning models to analyse and interpret large datasets of medical and insurance documents
Developing robust, scalable APIs in Python
Collaborating with other technical stakeholders and leaders to actively work towards the design and implementation of systems.
Ensuring the reliability and scalability of ML systems, implementing best practices in data engineering and model lifecycle management.
Work with our expert in the loop teams to build industry leading evaluations
Other duties and responsibilities will be assigned as projects develop, adjust and mature.
Requirements
Experience working across multiple engineering teams to deliver projects
Technical excellence in one area of Machine Learning
Strengths in one of backend engineering, data engineering or cloud engineering
Ability to think through problems end to end, including data, infrastructure, research, monitoring and inference considerations
Possess professional working experience with LLMs, RAG, BERT based models.
A track record of developing high-quality, maintainable code.
Excellent problem-solving skills in an independent and team setting
Are enthusiastic about working in a fast-paced, innovative environment, contributing to a team that aims to make a significant impact in the medical and insurance tech space.
Tech Stack
Cloud
Python
Benefits
Flexible hybrid environment with the option to collaborate in-person at our Toronto HQ.
Modern employee benefits, including health and dental coverage
Competitive compensation, with valuable stock options, as we’re still a young company growing very quickly.
An opportunity to develop very rapidly in your career. We can offer you a super-immersive learning environment, and when you thrive there, you will have the opportunity to rapidly develop this opportunity into senior practitioner or management opportunities as you choose.
Access to a learning and professional development fund to help you level up your career while you’re working with us. We hope to be an incredible step up in your career if you decide to come and work with us.