Sr. AI/ML Engineer building and deploying AI models for AlertMedia’s risk intelligence and response SaaS platform. Optimizing LLMs, machine - learning pipelines and production AI features.
About the role
- Staff MLOps Engineer responsible for building infrastructure for AI/ML at NBCUniversal. Managing large media datasets, deploying models, and automating data pipelines.
Responsibilities
- Develop and own the backbone of our machine learning lifecycle, ensuring that data pipelines are automated, reproducible, and highly performant at scale
- Work on enabling seamless model training, deployment, and monitoring across complex, multimodal systems, supporting the evolution of cutting-edge AI/ML applications
- Collaborate with partner ML and Annotation engineers and TPMs to spec out 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 massive 2D/3D datasets to ensure reproducibility and high-throughput access
- Deploy and manage systems for monitoring model performance and data drift in production environments
Requirements
- 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
- Proven experience as an MLOps Engineer in a fast-paced environment in applied machine learning
- Prior experience in industries with complex multi-disciplinary teams such as robotics, smart grids, precision agriculture, game development, or aerospace
- Fluency with Python, Git, and the Unix shell
- Deep familiarity with Docker, Kubernetes, and workflow orchestrators (e.g., Airflow, Prefect, or Kubeflow)
- 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
Benefits
- Health insurance
- Equal employment opportunities
- Professional development
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