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%
Senior Full Stack Engineer needed for a Toronto SaaS company building an AI - first product. You'll own features end - to - end and help improve AI reasoning and production reliability.
Applied AI Engineering Specialist at Morgan Stanley designing and scaling GenAI platforms for Institutional Securities applications. Developing AI - powered assistants and guiding GenAI architecture decisions.
Principal MCP/AI Developer at Autodesk responsible for defining AI platform strategies and leading technical initiatives. Build advanced visualization solutions with agentic AI capabilities.
MCP/AI Developer focusing on building agentic AI for Autodesk's Visualization Solutions. Collaborating on cloud - enabled features and integrating LLMs for enhanced user experiences.
Intermediate Software Developer join ADS to develop web and mobile applications. Engage with users and improve data quality through AI tools in a flexible remote setup.