Technical lead building safe, evaluable LLM agents and AI infrastructure for OpenLoop’s telehealth platform. Setting architecture, observability, retrieval, and model operations direction.
About the role
- AI Developer II developing machine learning products to solve business problems. Collaborating within a multi-disciplinary team at Canada's largest property and casualty insurer.
Responsibilities
- Develop innovative data products using machine learning to solve business problems.
- Write well-designed, efficient code that can be tested, again and again.
- Influence the AI roadmap of the biggest P&C insurer in Canada.
- Keep pace with new technologies and use them in your own solutions.
- Work within a multi-disciplinary environment mixing people from data science, software engineering, actuarial science, business and design.
- Share knowledge with interns, data scientists and other software developers to grow, as a team.
Requirements
- A bachelor’s degree in computer science, software engineering, AI or a related discipline.
- Proficiency in Python, ML/AI (model development + productionise), REST/ GraphQL APIs, AWS (S3, Lambda, sagemaker or similar services).
- Experience with machine learning and scientific computing libraries such as scikit-learn, NumPy, SciPy, Tensorflow, etc.
- Experience with pipelines, Ingestions/automations.
- Good knowledge of software engineering practices such as design patterns, knowledge of the development cycle and other tools such as Git, Jira, Confluence.
- The commitment to be a great, collaborative teammate.
- Unlimited curiosity and a passion to challenge the status quo.
- Ability to focus on vaguely defined issues requiring the application of a creative approach.
- Strong communication, time management and work organization skills.
- If you don’t have experience in the AI field, a strong motivation to learn this new and exciting field.
- For candidates located in Quebec, bilingualism is required considering the necessity to interact on a regular basis with English speaking colleagues across the country.
Benefits
- Annual bonus target, with a potential payout of up to double the target (subject to personal and company performance): 10%
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