AI & ML Engineer enhancing energy management software solutions at GreenPocket GmbH. Focusing on modern LLM architectures and AI integration for innovative user experience.
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
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