Job Title:Machine Learning Engineer, GenAILocation:This role requires working onsite at our Burnaby, BC officefour days per week, with one day per week working from home. (Hybrid)We also consider exceptional candidates for work from home flexibility in Canada.Compensation:$145-170k CADALTEA Healthcare is a leading healthcare organization committed to revolutionizing the delivery of outpatient and post‑acute care. We are seeking a Machine Learning Engineer to join our team. The ideal candidate will have a strong background in developing and shipping scalable GenAI solutions. We have shipped a suite of rich GenAI products, with many more exciting products on the way. As an important member of the AI team, this person will contribute significantly to designing, implementing, deploying, and iterating on AI/ML products that help care providers improve care delivery and quality for post‑acute patients.Responsibilities:Develop and ship AI products, with a focus on scalability and monitoring.Collaborate with MLEs, front-end, and back-end engineers to deliver high-quality products/apps.Drive products from 0 to 1 (from business requirements to production deployment).Incorporate feedback from cross-functional teams and refine ML-driven applications through quick iteration cycles.Maintain best software engineering and MLOps practices within the healthcare industry.Document and optimize system architecture, design decisions, and codebase to facilitate future maintenance and enhancements.Sample day-to-day work:Including, but not limited to:Write, test, and debug production-ready codeReview and approve PRsTroubleshoot and resolve production issues and user feedbackWork with external teams (frontend, backend, product) to design/optimize AI productsScale products to more regions and end-usersUpdate documentation and track progress on ticketsAssist with ad-hoc scripts when neededCore qualities that will thrive here:Ownership:



Own project end-to-end, ensuring accuracy, timeliness, and alignment with business goals; drives clarity, followsthrough on commitments, manage dependencies from other teams, and be accountable for outcomes and quality.Problem solving: Enjoy identifying root causes, solving complex technical problems, and proactively proposing scalable improvements.Contribution to team: Actively supports teammates through PR reviews, collaboration, knowledge sharing, and constructive feedback.Product-driven mindset: Enjoy creating impactful products from 0 to 1 in a fast-paced environment.Tech savvy: Enjoy tinkering with the latest technologies and maximizing use of AI assisted tools while keeping security and quality considerations in mind.Azure DevOps (Git repos, CI/CD pipelines, PR, app services), LangGraph/Langchain, LangSmith, Github Copilot/Cursor/ClaudeKey Qualifications:Proven experience in deploying, scaling, integrating, and maintaining GenAI applications using Azure DevOps, Azure App Services, and Azure Functions.Strong understanding and experience in software engineering and MLOps best practices.Experience with unit testing and regression testing to ensure quality and stability.Experience working with full-stack/front-end/back-end engineers to build products. Product-oriented mindset.Note: This role is specifically focused on the deployment and integration of GenAI applications. It is not intended for data scientists, dashboard-builders, or those with purely model development experiences.Other Requirements:Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent experienceAt least 2 years of post‑education, non‑internship experience as an ML Engineer or Software Engineer.Experience with multi-agent RAG systemsStrong interest in healthcare, with preferred experience working with healthcare dataJob Type: Full-timePay: Competitive pay, benefits, and extremely valuable startup stock options#J-18808-Ljbffr

📌 Machine Learning Engineer, Genai - C$145,000 - C$170,000 A Year (Burnaby)
🏢 Altea Healthcare
📍 Burnaby