Staff MLOps Engineer

NBCUniversal

Staff MLOps Engineer scaling automated ML infrastructure for NBCUniversal’s large 2D/3D media datasets. Building reproducible training pipelines and production monitoring systems.

Posted 9/10/2026full-timeRemote • 🇨🇦 CanadaLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and scaling infrastructure for large 2D and 3D media datasets, with a strong focus on automating and optimizing data and training pipelines. Proficient in deploying machine learning models and managing their performance in production environments.

Highest-signal resume keywords

MLOps EngineeringPython ProgrammingDocker and KubernetesCI/CD Pipeline DesignMachine Learning Model Training

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Machine LearningData Pipeline AutomationVersioning StrategiesData SecurityMathematical Analysis

Soft Skills

Attention to DetailCollaboration

Tools & Technologies

GitUnix ShellAirflowPrefectKubeflowJiraConfluenceSlack

Industry Keywords

RoboticsSmart GridsPrecision AgricultureGame DevelopmentAerospace

Tech Stack

Tools & technologies

AirflowCloudDockerKubernetesPythonUnix

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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