At a Glance
- Tasks: Build and scale infrastructure for 2D and 3D media datasets and train machine learning models.
- Company: Join NBCUniversal, a leader in media and entertainment with a global impact.
- Benefits: Competitive salary, inclusive culture, and opportunities to give back to the community.
- Other info: Dynamic work environment with opportunities for growth and collaboration.
- Why this job: Be part of innovative projects that shape the future of entertainment and technology.
- Qualifications: 5+ years as an MLOps Engineer with strong Python and cloud infrastructure skills.
The predicted salary is between 118800 - 145200 $ per year.
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. 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.
Role Summary: We are seeking an MLOps Engineer with experience building and scaling infrastructure for large 2D and 3D media datasets and training machine learning models on them. You will be responsible for the "backbone" of our machine learning lifecycle, ensuring that our data and training pipelines are automated, reproducible, and performant at scale.
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.
Graduate degree in Computer Science, Software Engineering, or a related field.
5+ years of experience as an MLOps Engineer in a fast-paced environment in applied machine learning.
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.
Desired Characteristics:
- High attention to detail regarding system reliability and data security.
- Ability to translate abstract ML requirements into concrete, scalable cloud or on-prem infrastructure.
- Prior experience in industries with complex multi-disciplinary teams such as robotics, smart grids, precision agriculture, game development, or aerospace.
Eligibility Requirements:
- Interested candidates must apply to be considered.
- Must be legally authorized to work in Canada.
- Must be willing to travel for work related business, if necessary.
Staff MLOps Engineer in Québec employer: NBCUniversal
NBCUniversal is an exceptional employer that fosters a dynamic and inclusive work culture, where creativity and innovation thrive. As a Staff MLOps Engineer, you will have the opportunity to work with cutting-edge technology in a collaborative environment, while also benefiting from extensive professional development programs and community engagement initiatives. Located in Canada, you will be part of a global team dedicated to producing world-class content and making a positive impact in the communities we serve.
