Index Exchange

Index Exchange

Senior Machine Learning Engineer

Toronto, CAN · Senior

Sponsorship not specifiedDetected 83 days ago
GoDistributed SystemsCI/CDMachine LearningMLOpsProblem Solving

About the role

  • 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.

Requirements

  • We're a proud industry pioneer with over 20 years of experience accelerating the ad technology evolution.

Skills

  • Expertise in high-performance backend technologies, preferably including Golang.

Benefits

  • 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.
  • Productionalize and support scalable and efficient Machine Learning models and solutions.

Company info

  • As such, we are committed to equal employment opportunities.
  • As a major global advertising exchange, we are committed to operating as a tightly knit global team and embracing and empowering talent wherever our colleagues may be. #LI-ONSITE

Equal opportunity

  • 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.

Visa & Work Authorization

  • 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

This listing is sourced directly from Index Exchange's careers page and normalized into a canonical job model.