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NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information.

Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.

NBCUniversal est l'un des leaders mondiaux du secteur des medias et du divertissement. Nous creons des contenus d'exception, que nous diffusons a travers notre portefeuille de films, de programmes televises et de services de streaming, et que nous donnons vie grace a nos parcs a theme internationaux, nos produits grand public et nos experiences. Nous detenons et exploitons des marques de premier plan dans les domaines du divertissement et de l'information, notamment NBC, NBC News, NBC Sports, Telemundo, les chaines locales NBC, Bravo et Peacock, notre service de streaming premium finance par la publicite. Nous produisons et distribuons des films et des programmes de divertissement de premier ordre grace a nos puissants studios de cinema et de television, notamment Universal Pictures, DreamWorks Animation et Focus Features, ainsi qu'aux quatre studios de television mondiaux regroupes sous la banniere Universal Studio Group. Nous exploitons egalement des parcs a theme et des experiences de premier plan a travers le monde via Universal Destinations & Experiences, notamment l'Universal Orlando Resort, qui abrite l'Universal Epic Universe, et Universal Studios Hollywood. NBCUniversal est une filiale de Comcast Corporation. Rendez-vous sur www.nbcuniversal.com pour plus d'informations.

Notre impact repose sur l'amelioration des communautes dans lesquelles vivent et travaillent nos employes, nos clients et nos publics. Nous avons une riche tradition d'engagement social et veillons a ce que nos employes aient la possibilite de s'investir au sein de leurs communautes. Nous defendons une culture inclusive et nous nous efforcons d'attirer et de former une main-d'uvre talentueuse afin de creer et de proposer un large eventail de contenus refletant notre monde.

We are seeking a Staff MLOps Engineer with experience building and scaling infrastructure for large 2D and 3D media datasets. In this role, you will develop and own the backbone of our machine learning lifecycle, ensuring that data pipelines are automated, reproducible, and highly performant at scale.

You will work on enabling seamless model training, deployment, and monitoring across complex, multimodal systems, supporting the evolution of cutting-edge AI/ML applications.

Nous sommes a la recherche d'un(e) ingenieur(e) MLOps expert(e) ayant de l'experience dans la conception et la mise a l'echelle d'infrastructures pour de grands ensembles de donnees multimedias 2D et 3D. Dans ce role, vous developperez et serez responsable des fondements du cycle de vie de l'apprentissage automatique, en veillant a ce que les pipelines de donnees soient automatises, reproductibles et performants a grande echelle.

Vous contribuerez a l'entrainement, au deploiement et au suivi des modeles au sein de systemes multimodaux complexes, soutenant ainsi le developpement d'applications d'IA/AA de pointe.

Key Responsibilities

• Cross-Functional Coordination: Work with partner ML and Annotation engineers and TPMs to spec out infrastructure and training requirements.
• Pipeline Automation: Design and maintain robust CI/CD and CT (Continuous Training) pipelines for complex multimodal models.
• Data Lifecycle Management: Implement versioning and storage strategies for massive 2D/3D datasets to ensure reproducibility and high-throughput access.
• Monitoring & Observability: Deploy and manage systems for monitoring model performance and data drift in production environments.

Responsabilites principales

• Collaboration interfonctionnelle : Collaborer avec les ingenieurs ML, les equipes d'annotation et les TPM afin de definir les besoins en infrastructure et en entrainement.
• Automatisation des pipelines : Concevoir, deployer et maintenir des pipelines CI/CD et d'entrainement continu (CT) pour des systemes d'apprentissage automatique multimodaux.
• Gestion du cycle de vie des donnees : Mettre en place des strategies de stockage et de versionnement pour des ensembles de donnees 2D/3D a grande echelle afin d'assurer la reproductibilite et un acces efficace.
• Surveillance et observabilite : Developper et gerer des systemes permettant de surveiller la performance des modeles, detecter la derive des donnees et garantir la fiabilite en production.

• Master's degree in Computer Science, Engineering, Mathematics, or a related field
• Minimum of 5+ years of relevant industry experience, ideally within a fast-paced, high-growth tech environment.
• Professional Experience: Proven experience as an MLOps Engineer in a fast-paced environment in applied machine learning.
• Industry Context: Prior experience in industries with complex multi-disciplinary teams such as robotics, smart grids, precision agriculture, game development, or aerospace.

Technical Proficiency:

• Core Tools: Fluency with Python, Git, and the Unix shell.
• Containerization & Orchestration: Deep familiarity with Docker, Kubernetes, and workflow orchestrators (e.g., Airflow, Prefect, or Kubeflow)
• Ecosystem: Familiarity with collaborative tools such as Jira/Confluence, Slack and a Git server.
• Strong Mathematical Background: Preferred for understanding the resource demands of 3D data transformations.

Attributes:

• Conscientiousness: High attention to detail regarding system reliability and data security.
• Systems Thinking: Ability to translate abstract ML requirements into concrete, scalable cloud or on-prem infrastructure

• Maitrise en informatique, en ingenierie, en mathematiques ou dans un domaine connexe.
• Minimum de 5 ans d'experience pertinente en industrie, idealement dans un environnement technologique dynamique et en forte croissance.
• Experience demontree en tant qu'ingenieur(e) MLOps dans des environnements d'apprentissage automatique applique.
• Une experience dans des secteurs multidisciplinaires tels que la robotique, les reseaux intelligents, l'agriculture de precision, les jeux video ou l'aerospatiale est fortement valorisee.

Competences techniques

• Outils principaux : Excellente maitrise de Python, Git et des environnements Unix.
• Conteneurisation et orchestration : Expertise approfondie avec Docker, Kubernetes et des outils d'orchestration de workflows (ex. : Airflow, Prefect, Kubeflow).
• Ecosysteme : Familiarite avec des outils tels que Jira, Confluence, Slack et les workflows collaboratifs bases sur Git.
• Bases mathematiques (atout) : Comprehension des concepts mathematiques lies au traitement de donnees 3D a grande echelle et a l'optimisation des systemes.

Qualites recherchees

• Rigueur : Grande attention aux details, avec un accent sur la fiabilite des systemes, l'evolutivite et la securite des donnees.
• Pensee systemique : Capacite a traduire des besoins ML abstraits en solutions d'infrastructure concretes et evolutives (cloud ou sur site).

As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.

If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to [email protected].