18 days ago
Toronto, Canada or Montréal, CanadaSenior
Responsibilities
- Evolve the MLOps platform to improve operational robustness, performance, scalability, reliability, and observability.
- Own end-to-end delivery of software products, including workflow orchestrators, APIs, services, and front-end user interfaces.
- Collaborate with data scientists and analysts to ensure AI solutions address business needs and use high-quality data.
- Integrate AI-driven solutions with existing insurance operations systems in coordination with IT and operations teams.
- Apply advances in AI and machine learning to improve deployed solutions and contribute to team knowledge sharing.
- Use CI/CD tools and agile practices to deliver features and updates reliably.
- Provide technical leadership and mentorship to squad members and influence the technical roadmap.
Requirements
- Bachelor’s degree in computer engineering, computer science, or equivalent education and experience.
- At least 6 years of significant development experience.
- Strong Python skills.
- Proficiency with cloud infrastructure, containers, infrastructure as code, CI/CD, and observability, ideally using AWS and Terraform.
- Experience with automated backend and UI testing and familiarity with observability tools and practices.
- Strong understanding of GenAI building blocks, including prompting, agentic frameworks, evaluations, guardrails, RAG, embeddings and vector databases, fine-tuning, graph databases with LLMs, MCP, and reasoning models.
- Strong data engineering skills and knowledge of MLOps best practices.
- Ability to translate business problems into technical solutions and collaborate effectively across teams.
- Angular or React experience, Databricks Unity Catalog and Delta Lake experience, and AI-assisted coding proficiency are assets.
- For candidates located in Quebec, bilingual French-English communication is required.
- Candidates must be eligible to work in Canada; Canadian work experience is not required.
Benefits
- Flexible work arrangements and a hybrid work model.
- Possibility of purchasing up to five additional days off per year.
- Physical and mental wellbeing benefits, including telemedicine and a wellness account.
- Share plan and other savings opportunities, including potential employer matching through the Employee Share Purchase Plan.
- Defined benefit pension plan with the opportunity for guaranteed lifetime income.
- Annual bonus plan based on personal and company performance.
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