About the RoleWe’re looking for a Senior Machine Learning Engineer who can bring their depth and breadth of experience in applied data science and optimization at industry scale to help guide our Index-wide technology strategy for machine learning and optimization, and to drive pragmatic execution and iterative improvement of the same.ResponsibilitiesDesign and implement enterprise-scale MLOps systems and platforms (including data ingestion, feature pipelines, model training, validation, deployment and monitoring), setting standards for high-performance ML products.Productionalize and support scalable and efficient Machine Learning models and solutions.Define and enforce standards for model lifecycle management, including versioning, monitoring, alerting, traceability and highly available low-latency inference systems.Refine and contribute to advanced data management strategies, optimizing for performance given extensive data loads.Mentor teams and provide guidance for machine learning engineering deployment practices, promoting a culture of excellence.Navigate complex problem‑solving situations, contributing to decisions that affect the broader business's strategic direction.Utilize CI/CD best practices to ensure the enterprise keeps with creative practices and remains efficient, through engagement with ML and MLOps evolution outside of the organization.Enable safe deployment strategies like shadow, canaries & gradual rollout.QualificationsAdvanced degree in Computer Science, Engineering, or a related field, or equivalent experience.Expertise in high-performance backend technologies, preferably including Golang.Extensive experience with cloud and/or on-premises distributed systems, data‑intensive applications, and large‑scale backend system design.Deep knowledge of machine learning operationalization, including current trends, tools, and frameworks.Proven problem‑solving prowess, capable of pioneering novel solutions to sophisticated technical challenges.Experienced in software development, deployment,



and continuous improvement of complex CI/CD pipelines.A love of technology, or thirst for knowledge, or curiosity about the world, or a desire to solve the hardest problems.BenefitsComprehensive health, dental, and vision plans for you and your dependentsPaid time off, health days, and personal obligation days plus flexible work schedulesCompetitive retirement matching plansEquity packagesGenerous parental leave available to birthing, non‑birthing, and adoptive parentsAnnual well‑being allowance plus fitness discounts and group wellness activitiesCommuter benefits and discounts, where availableEmployee assistance programMental health first aid program that provides an in‑the‑moment point of contact and reassuranceOne day of volunteer time off per year and a donation‑matching programBi‑weekly town halls and regular community‑led team eventsMultiple resources and programming to support continuous learningA workplace that supports a diverse, equitable, and inclusive environment – learn more hereEqual Employment OpportunityAt Index Exchange, we believe that successful products are built by teams just as diverse as the audience who uses them. As such, we are committed to equal employment opportunities. We celebrate diversity of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Additionally, we realize that diversity is deeper than any status or classification—diversity is the human experience. For those who show grit, passion, and humility—Index will welcome you.Accessibility for Applicants With DisabilitiesIndex Exchange welcomes and encourages individuals with disabilities to apply to work with us. If you require an accommodation, please share the details of your request and any information how we can assist you with the hiring recruiter when they contact you. Index Exchange will make reasonable efforts to ensure accommodation requests are met throughout the recruitment process.#J-18808-Ljbffr

📌 Senior Machine Learning Engineer (Toronto)
🏢 Index Exchange
📍 Toronto