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Senior Machine Learning Developer (Ai)

152 900 - 229 300CAD
Формат работы
remote
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, нашего списка международных tech-компаний

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TL;DR

Senior Machine Learning Developer (AI): Contribute to the development of next-generation ML systems for hirify.global Ads, focusing on building a high-scale ad-tech model platform, from training to inference. Focus on translating research into practical solutions and aligning ML platform capabilities with business goals.

Location: Remote, Canada

Salary: $152,900—$229,300 CAD

Company

hirify.global is the leading platform to create and grow games and interactive experiences.

What you will do

  • Design, develop, and deploy scalable, production-grade ML systems and platform components to optimize ad delivery, bidding strategies, and user engagement.
  • Contribute to the technical roadmap and design of the ML platform, focusing on training and inference solutions for high-scale ad-tech models.
  • Translate research into scalable solutions for the ML platform and models.
  • Partner cross-functionally with data science, product, and engineering teams to align ML platform capabilities with strategic business goals.
  • Collaborate on defining data infrastructure, MLOps tooling, and processes to support advanced ML initiatives and the ML platform.
  • Implement best practices for model development, testing, deployment, monitoring, and overall MLOps within the new platform.

Requirements

  • Background in Computer Science, Machine Learning, Statistics, or a related field.
  • Experience designing, deploying, and maintaining ML systems at scale, including managing cloud infrastructure on GCP and orchestrating workloads with Kubernetes.
  • Track record of building ML platforms and infrastructure, including MLOps best practices, with experience using tools like NVIDIA Triton Inference Server.
  • Expertise in Python and familiarity with production-grade ML frameworks (such as PyTorch or TensorFlow), as well as modern ML architectures.
  • Familiarity with robust MLOps practices, data pipelines, and cloud ML deployment, including model serving and monitoring.
  • Excellent communication and collaboration skills.

Nice to have

  • Experience with Golang for building high-performance ML systems/infrastructure.
  • A forward-thinking mindset.
  • A passion for mentoring and supporting teammates.
  • Experience in ad tech or other performance-critical domains.

Culture & Benefits

  • Committed to fostering an inclusive, innovative environment.
  • Celebrate employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law.

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