Machine Learning Engineering Intern developing innovative AI solutions for contact centers at Cresta. Collaborating with top researchers and engineers in AI to unlock customer experience potential.
About the role
- MLOps Engineer managing infrastructure for large 2D and 3D media datasets at NBCUniversal. Responsible for automation, reproducibility, and performance of machine learning lifecycles.
Responsibilities
- Collaborate with partner ML and annotation engineers and TPMs to specify infrastructure and training requirements.
- Design and maintain robust CI/CD and CT (Continuous Training) pipelines for complex multimodal models.
- Implement versioning and storage strategies for large-scale 2D/3D datasets to ensure reproducibility and high-throughput access.
- Deploy and operate systems for monitoring model performance and detecting data drift in production environments.
Requirements
- Graduate degree (Master's or PhD) in Computer Science, Software Engineering, or a related field.
- 5+ years of experience as an MLOps Engineer in fast-paced applied machine learning environments.
- Proficient in Python, Git, and the Unix shell.
- Deep familiarity with Docker, Kubernetes, and workflow orchestrators (e.g., Airflow, Prefect, or Kubeflow).
- Experience 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.
- High attention to detail with respect to system reliability and data security.
- Ability to translate abstract ML requirements into concrete, scalable cloud or on-premises infrastructure.
- Prior experience working with complex multidisciplinary teams (e.g., robotics, smart grids, precision agriculture, game development, or aerospace).
- Must be legally authorized to work in Canada.
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
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