Machine Learning Infrastructure Developer

3 days ago


London, Greater London, United Kingdom Pandora Full time

Machine Learning Infrastructure Developer

We are seeking a skilled Machine Learning Infrastructure Developer to join our team at Pandora. As a key member of our MLOps team, you will design, develop, and maintain the infrastructure and platform essential for scaling our machine learning systems efficiently from experimentation to production.

Responsibilities:

  • Design and implement the ML platform and infrastructure required for ML systems to scale
  • Facilitate an efficient ML route to live from experiment to production
  • Develop and deploy scalable tools and services to handle machine learning training and inference
  • Identify and evaluate new technologies to improve performance, maintainability, and reliability of ML systems
  • Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.
  • Qualifications:
    • Experience building end-to-end systems as a Platform Engineer, DevOps Engineer
    • Strong software engineering skills in complex, multi-language systems
    • Fluency in Python
    • Experience working with Infrastructure as Code, e.g. Terraform
    • Experience working with cloud computing and database systems, such as Databricks
    • Experience building custom integrations between cloud-based systems using APIs
    • Experience developing with containerisation (e.g Docker) and orchestration Kubernetes in cloud computing environments
    • Familiarity with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo, etc.)
    • Ability to translate business needs to technical requirements
    • Strong understanding of software testing, benchmarking, and continuous integration
    • Exposure to machine learning methodology and best practices


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