Senior Staff Machine Learning Engineer leading technical architecture for GEICO's AI Agent Platform. Driving innovation and enhancing productivity for internal associates and customers.
About the role
- MLOps Engineer building and operating scalable ML training & serving infrastructure for Epidemic Sound’s music search, recommendation, and audio ML systems.
Responsibilities
- Design, build, and maintain the core infrastructure that powers machine learning applications.
- Streamline the entire ML lifecycle and implement next-generation technologies.
- Build scalable infrastructure for training and serving machine learning models using Kubernetes (GKE).
- Develop and optimize CI/CD pipelines to streamline ML application lifecycle from development to production.
- Implement and manage robust ML monitoring and observability solutions to ensure production model reliability.
- Collaborate with Machine Learning Engineers, Data Engineers, and product teams to integrate data pipelines and tools like Vertex AI and feature stores.
- Work within a team of MLOps engineers inside a larger cross-functional group.
Requirements
- Proven experience in MLOps, with a deep understanding of best practices like ML monitoring and CI/CD for machine learning.
- Proficiency with Kubernetes in a production environment.
- Hands-on experience with pipeline orchestration tools such as Vertex AI Pipelines, Kubeflow Pipelines, Flyte, or Metaflow.
- Infrastructure as Code skills, particularly with Terraform.
- Experience with cloud-native data processing services like Dataflow or Airflow.
- Nice to have: Experience with Google Cloud Platform services like BigQuery and Google Cloud Storage.
- Nice to have: Knowledge of advanced data engineering practices.
- Nice to have: Familiarity with observability tools for production infrastructure (e.g., Grafana, Prometheus, OpenTelemetry).
- Nice to have: Experience with serverless inference frameworks such as Seldon Core.
- Nice to have: Familiarity with Music Information Retrieval.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
Staff Machine Learning Engineer developing the next generation of AI Agent OS and SDKs for GEICO. Key responsibilities include architecting scalable systems and implementing observability frameworks.
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