Machine Learning Infrastructure Specialist

1 day ago


Stockholm, Stockholm, Sweden Epidemic Sound Full time

At Epidemic Sound, we're revolutionizing the soundtracking industry by combining cutting-edge technology with a passion for music. As a Senior MLOps Engineer, you'll play a pivotal role in driving our innovation team forward, focusing on streamlining machine learning application development and deployment.

Our goal is to empower our teams to create cutting-edge ML solutions that impact millions of users worldwide. To achieve this, we need someone with expertise in setting up and maintaining robust infrastructure for training and serving ML models, as well as optimizing infrastructure and promoting best practices in MLOps.

Some key responsibilities include:

  • Developing and maintaining CI/CD pipelines for batch and streaming predictions
  • Managing data dependencies and ensuring robust data pipelines from the warehouse to ML platforms
  • Championing MLOps best practices internally and mentoring the team on emerging technologies

We're looking for someone with a strong background in MLOps and SRE practices, proficiency in GCP (or similar cloud providers), and experience with pipeline orchestration tools like Vertex AI Pipelines or Kubeflow Pipelines.

As a member of our cross-functional team, you'll collaborate closely with Machine Learning Engineers, Full Stack Engineers, and Product Managers and Designers to ensure seamless integration of ML workflows into our product ecosystem.



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