MLOps Systems Architect

5 days ago


Stockholm, Stockholm, Sweden Epidemic Sound Full time

About Epidemic Sound's Innovation Team

We're a cross-functional team of innovators, collaborating closely with Machine Learning Engineers, Full Stack Engineers, and Product Managers and Designers to drive our MLOps initiatives forward.

Job Description

We are seeking a Senior MLOps Engineer to join our innovation team, driving our MLOps initiatives. As a key member of our team, you will play a crucial role in streamlining the development and deployment of machine learning applications, ensuring a seamless transition from concept to production.

Your Key Responsibilities

  • You will manage data dependencies and ensure robust data pipelines from the warehouse to ML platforms.
  • You will work with product teams, data engineers, and DevOps professionals to ensure the seamless integration of ML workflows into our product ecosystem.
  • You will champion MLOps best practices internally, mentoring the team about it and staying up to date with emerging technologies.

Requirements

  • Proven experience with MLOps and SRE practices, and technologies.
  • Proficiency in GCP (or similar cloud providers) and tools like BigQuery, Dataflow, and Google Cloud Storage.
  • Expertise in pipeline orchestration tools (e.g., Vertex AI Pipelines, Kubeflow Pipelines).
  • Strong programming skills in Python/Go and familiarity with ML training frameworks like TensorFlow or PyTorch.
  • Knowledge of Kubernetes and related tools (e.g., ArgoCD, Prometheus, Istio).


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