Team Lead, Machine Learning Engineering

Team Lead, Machine Learning Engineering – Prenuvo We are looking for a Team Lead, Machine Learning Engineering as we invest in a world‑class MLOps function to build robust infrastructure that supports secure, reproducible, and scalable ML systems. If you are passionate about cutting‑edge ML engineering and impactful healthcare outcomes, join us to change lives through early diagnosis. Location: Vancouver, Canada – flexible hybrid work model. What You’ll Do Inference Infrastructure: Design and maintain secure, scalable systems for running ML inference across production environments. Job Scheduling: Build and operate job scheduling infrastructure to manage inference workloads at scale, including migration from AWS SageMaker to AnyScale/Ray. Prediction Storage & Access: Develop and maintain services to store, version, and serve predictions for internal analytics and downstream systems. Systems Integration: Work closely with Software Engineering teams to expose predictions via secure APIs and support reporting, visualization, and clinical integration. Collaboration with AI Research: Partner with ML researchers to productionise trained models, support model packaging, and ensure compatibility with runtime systems. Observability & Monitoring: Own observability for all deployed ML systems—logging, metrics, alerting, and drift monitoring. Engineering Leadership: Mentor and grow a team of engineers focused on building and supporting ML‑powered services and infrastructure. Compliance & Documentation: Ensure infrastructure is auditable and compliant with healthcare standards (e.g., HIPAA, FDA) and support documentation for regulatory submissions. What You’ll Bring 5+ years of experience in software engineering or ML infrastructure, including 2+ years in a technical leadership or team lead role. Strong proficiency in Python and its ecosystem for packaging, testing, and deploying production‑quality ML code (e.g., Docker, Pytest, Poetry). Expertise in designing and operating systems for ML inference, including experience with scheduling tools (e.g., Airflow, custom job queues). Hands‑on experience with container orchestration and cloud‑native infrastructure. Experience with ML workflow platforms such as SageMaker and emerging distributed computing frameworks like Ray or AnyScale. Experience building APIs or services to expose ML predictions to other teams or applications. Strong cross‑functional communication skills and a product mindset – focus on outcomes and system impact, not just deployments. Comfort working in fast‑moving environments with evolving requirements and a high level of ownership. Nice to Have Understanding of distributed scheduling, fault tolerance, and resource‑aware execution of ML workloads. Familiarity with real‑time inference, active learning loops, or asynchronous job orchestration patterns. Understanding of privacy‑preserving techniques and compliance frameworks in healthcare (HIPAA, FDA, SOC2). Exposure to frontend/backend reporting systems or ETL pipelines for clinical reporting. Experience with medical imaging data (DICOM) and healthcare system integration. Our Values Pioneers: Transforming healthcare requires divergent thinking, bias for action, disciplined experimentation, and consistent grit to maintain momentum. Platform‑Builders: We build foundations that allow us to achieve tomorrow, never losing sight of the future and taking ownership of our mission. Patients: We prioritize our patients’ well‑being and believe in preventive healthcare for everyone, including our team. What We Offer Opportunity to make a positive impact on people’s lives and health. Free, whole‑body scans for each team member. Growth opportunities – no single path to success; we empower you to shape your own journey. Strong community – weekly team gatherings to connect, share, and socialize. Flexible vacation policy and encouragement to use it. Comprehensive benefits package, including health, dental, vision, and mental health coverage. Base salary: $165,000 – $200,000 (local currency, depending on experience). We are an equal‑opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. As part of the hiring process, successful candidates will undergo a background check in compliance with applicable federal, provincial, and state rules. Please be advised that official communication from our recruitment team will only come from our authorized domain prenuvo.com. If you are contacted by a recruiter, please ensure their email address ends with @prenuvo.com. We do not use third‑party recruitment services or any other email domains for hiring purposes. If you receive communication that you believe to be fraudulent, please report it immediately to jobs@prenuvo.com. #J-18808-Ljbffr