Staff MLOps Engineer | Ingénieur·e MLOps Staff

NBC Universal
Montreal, New York
Workplace: RemoteFull timeFunction: DevOps, Cloud & InfrastructureExperience: 5+ yearsEducation: mastersSkills: ["Attention to detail","System reliability focus","Data security focus","Cross-functional collaboration","Ability to translate ML requirements"]

Build and scale the infrastructure backbone of the machine learning lifecycle for large 2D/3D media datasets. Own automated, reproducible, high-throughput data and training pipelines, including CI/CD and continuous training for multimodal models. Manage dataset versioning and storage, and deploy monitoring for production performance and data drift. Partner with ML, annotation, and TPM teams to define infrastructure and training requirements.

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FursaFursa
NBC Universal
NBC Universal
21 hours ago

Staff MLOps Engineer | Ingénieur·e MLOps Staff

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Build and scale the infrastructure backbone of the machine learning lifecycle for large 2D/3D media datasets. Own automated, reproducible, high-throughput data and training pipelines, including CI/CD and continuous training for multimodal models. Manage dataset versioning and storage, and deploy monitoring for production performance and data drift. Partner with ML, annotation, and TPM teams to define infrastructure and training requirements.
Location: Montreal, New York
Workplace: Remote
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Sr. Manager level

Key Responsibilities

  • •Coordinate with partner ML and annotation engineers and TPMs to specify infrastructure and training requirements.
  • •Design and maintain CI/CD and continuous training pipelines for complex multimodal models.
  • •Implement data lifecycle management with versioning and storage strategies for massive 2D/3D datasets.
  • •Deploy monitoring and observability for model performance and data drift in production environments.
  • •Ensure the end-to-end ML lifecycle is automated, reproducible, and performant at scale.
Travel: Low travel

Key Requirements

  • •Graduate degree in Computer Science, Software Engineering, or a related field.
  • •5+ years of experience as an MLOps Engineer in applied machine learning.
  • •Fluency with Python, Git, and the Unix shell.
  • •Deep familiarity with Docker and Kubernetes, plus workflow orchestrators such as Airflow, Prefect, or Kubeflow.
  • •Strong attention to system reliability and data security, with the ability to translate ML needs into scalable infrastructure.
Experience:5+ yearsApplied machine learningMachine learningMultimodal models2D data3D dataData pipelines
Education:Master's in Computer Science, Software Engineering
Skills:Attention to detailSystem reliability focusData security focusCross-functional collaborationAbility to translate ML requirements
Languages:EnglishFrench
Tech Stack:PythonGitUnix shellDockerKubernetesAirflowPrefectKubeflowJiraConfluenceSlack

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

NBC Universal
NBCUniversal is a global media and entertainment company producing and distributing film, television, news, sports and streaming content, and operating theme parks and consumer experiences across a portfolio of well-known brands including NBC, Universal Pictures and Peacock.
Industry: Film & Television
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Headquarters: New York City, United States
Founded: 2004
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