Senior Machine Learning

2 weeks ago


Toronto, Ontario, Canada Index Exchange Full time
Job Summary

Index Exchange is seeking a highly skilled Senior Machine Learning & Optimization Engineer to join our team. As a key member of our technology team, you will play a critical role in shaping the future of our ad tech platform. With over 350 billion requests processed daily, our exchange requires cutting-edge machine learning and optimization solutions to maintain efficiency and reliability.

Key Responsibilities
  • Design and implement high-performance MLOps systems and platforms, setting standards for scalable ML products.
  • Productionalize and support efficient Machine Learning models and solutions, refining data management strategies to optimize performance.
  • Mentor teams and provide guidance for machine learning engineering deployment practices, promoting a culture of excellence.
  • Navigate complex problem-solving situations, contributing to strategic business decisions.
  • Utilize CI/CD best practices to ensure the enterprise remains efficient and innovative.

Requirements
  • Advanced degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • Expertise in high-performance backend technologies, 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 technical challenges.
  • Experience in software development, deployment, and continuous improvement of complex CI/CD pipelines.

Why Index Exchange?
We offer a comprehensive benefits package, including health, dental, and vision plans, paid time off, health days, and personal obligation days. Our work environment is inclusive, diverse, and supportive, with opportunities for professional growth and development. Join our team and contribute to shaping the future of ad tech.

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