Machine Learning Engineer

ProNavigator helps insurance organizations centralize, manage, and deliver on-demand information to sales, service, underwriting, and brokers/agents. In 2019, we pioneered the first knowledge management platform for insurance. Now, more than 10,000 insurance professionals use ProNavigator to get quick, accurate answers. We continue to push the boundaries of what's possible by integrating large language models that are accurate and secure. 

At ProNavigator, we're tackling and solving unique challenges. Every day is an exciting new opportunity to collaborate with colleagues as we build a leading-edge platform and support our clients to do their best work. Our culture is built on the values of hard work, creativity, collaboration and high performance. We're looking for new team members who will try new things, share their opinion, move fast, think creatively and have fun.

Our current technology stack includes JavaScript, React, Python, FastAPI, Docker, AWS and MySQL, however we bring technologies in and out based on newly released tools, changes to requirements or solutions that more elegantly meet our objectives.

Your accountabilities in this role will include:

• Delivering AI/ML models from initial planning to data sourcing and preparation, building and training models, and deploying models to production in our cloud environment, ideally using and deploying open source models

• Creating AI-based prototypes to evaluate model and design options, working with internal stakeholders to analyze quality and relevance of results

• Training and tuning models to optimize outcomes of algorithms

• Integrating models to production, working with Engineering team members as needed to integrate models into product architecture

• Working with internal stakeholders to understand product needs of AI and to scope potential solutions

• Conducting research into relevant AI models and technologies and staying well-connected to trends and developments in this rapidly evolving space 

This is a remote role that can be based from one of the following provinces in Canada: British Columbia, Alberta, Saskatchewan, Manitoba, Ontario, Newfoundland, PEI, New Brunswick, Nova Scotia.  

The experiences, skills and attributes we think are key to your success are listed below. If you're excited about this role but don't meet 100% of these qualifications, we still encourage you to apply – we know there is no match for hunger, curiosity and an ability to figure things out in an evolving environment.

• 5+ years of software development experience with at least 3 years of experience implementing ML and AI technologies

• Deep knowledge of data modeling, and current ML and AI technologies with experience working with LLMs in particular to develop language-based solutions

• Highly analytical with the ability to think outside of the box, consider potential solutions from many different sources and make decisions with rapidly evolving or ambiguous data points

• Creative and scrappy problem solver who is excited about the prospect of creating greenfield solutions using new and evolving technologies 

• Strong written and verbal communication skills with the ability to present complex ideas

• Highly collaborative with the ability to work cross-functionally to understand needs and execute against ideas

• Thrives in a startup environment where speed, agility and high performance are table stakes

If you need accommodations during the hiring process, let us know at any time and we'll make sure you're set up for success.

We're looking for the best of the best to join our team and in return, we invest in the things that are important to our team members including:

• 4 weeks to give you the time away from work you need to recharge and deliver at 100%

• Flexible time off policies to support you when things come up outside of work

• Remote-first work environment that gives you the flexibility to work wherever you're most productive

• Annual professional development budget so you can pursue growth in the areas related to your career goals

• Competitive total compensation package across salary, variable compensation and benefits