Staff MLOps Engineer (AI)

TL;DR

Staff MLOps Engineer (AI/MLOps): Building and scaling infrastructure for large 2D and 3D media datasets with an accent on automating the machine learning lifecycle and data pipelines. Focus on implementing CI/CD and Continuous Training (CT) pipelines for complex multimodal models and optimizing data throughput.

Location: Montréal, Canada (Onsite)

Company

hirify.global is one of the world's leading media and entertainment companies, operating iconic brands such as NBC, Universal Pictures, and Peacock.

What you will do

• Design and maintain robust CI/CD and Continuous Training (CT) pipelines for complex multimodal models.
• Implement versioning and storage strategies for massive 2D/3D datasets to ensure reproducibility and high-throughput access.
• Deploy and manage systems for monitoring model performance and detecting data drift in production environments.
• Collaborate with ML and Annotation engineers and TPMs to specify infrastructure and training requirements.
• Translate abstract ML requirements into concrete, scalable cloud or on-prem infrastructure.

Requirements

• Master's degree in Computer Science, Engineering, Mathematics, or a related field.
• Minimum 5+ years of relevant industry experience in applied machine learning and MLOps.
• Fluency with Python, Git, and the Unix shell.
• Deep familiarity with Docker, Kubernetes, and workflow orchestrators such as Airflow, Prefect, or Kubeflow.
• Ability to attend in-person interviews in Montréal.

Nice to have

• Prior experience in robotics, smart grids, precision agriculture, game development, or aerospace.
• Strong mathematical background for understanding 3D data transformations.

Culture & Benefits

• Opportunity to work on cutting-edge AI/ML applications for a global media powerhouse.
• Inclusive corporate culture with a strong commitment to community service and diversity.
• Professional growth within a high-growth tech environment.
• Equal employment opportunity and accessibility support.