Staff MLOps Engineer

🔥 13 hours ago

🇨🇦 Canada – Remote

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

👻 Ghost score 10%

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Logo of NBCUniversal

NBCUniversal

10,000+ employees

Founded 2004

📱 Media

Media • Entertainment

NBCUniversal is a leading global media and entertainment company known for creating and distributing content across a variety of platforms. With over 100 years of experience, it is a part of Comcast and encompasses brands like Peacock, NBC Sports, and many others to educate, entertain, and empower audiences around the world. The company is involved in television broadcasting, film production, and theme parks, and is also recognized for its initiatives in technology and corporate social responsibility. NBCUniversal is committed to innovation and social impact, making it a vibrant workplace for media and tech professionals.

📋 Description

• Build and scale infrastructure for large 2D and 3D media datasets • Train machine learning models on large multimodal datasets • Serve as the backbone of the machine learning lifecycle • Automate, reproduce, and optimize data and training pipelines at scale • Work with ML and Annotation engineers and technical program managers to define infrastructure and training requirements • Design and maintain CI/CD and continuous training pipelines for complex multimodal models • Implement versioning and storage strategies for massive 2D/3D datasets • Deploy and manage monitoring systems for model performance and data drift in production • External candidates may be required to attend an in-person interview at an NBCUniversal location before a hiring decision

🎯 Requirements

• Graduate degree in Computer Science, Software Engineering, or a related field • 5+ years of experience as an MLOps Engineer in applied machine learning in a fast-paced environment • Fluency with Python, Git, and the Unix shell • Deep familiarity with Docker, Kubernetes, and workflow orchestrators such as Airflow, Prefect, or Kubeflow • Familiarity with Jira/Confluence, Slack, and a Git server • Strong mathematical background preferred for understanding resource demands of 3D data transformations • High attention to detail regarding system reliability and data security • Ability to translate abstract ML requirements into concrete, scalable cloud or on-premises infrastructure • Prior experience in complex multidisciplinary industries such as robotics, smart grids, precision agriculture, game development, or aerospace • Must be legally authorized to work in Canada • Must be willing to travel for work-related business if necessary • Interested candidates must apply to be considered

🏖️ Benefits

• Equal employment opportunities and anti-discrimination protections • Reasonable accommodation support for qualified individuals with disabilities and disabled veterans • Remote work option • Opportunity to work for NBCUniversal, a global media and entertainment company

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