MLOps Lead

hace 2 semanas


Madrid, Madrid, España Coca-Cola Europacific Partners A tiempo completo

As an ML Ops Lead Engineer, you will play a critical role in bridging the gap between data science and IT operations, ensuring the smooth deployment, scaling, and maintenance of machine learning models in a production environment.

Please reach out if you feel you would like to apply for this role.

  • Deep quantitative/programming background with a degree (Bachelor's, Master's) in a highly analytical discipline, like Statistics, Economics, Computer Science, Mathematics, Operations Research, etc.
  • Total of 3-6 years of experience in managing machine learning projects end-to-end, with the last 18 months focused on MLOps.
  • Monitoring Build & Production systems using automated monitoring and alarm tools.
  • Knowledge of machine learning frameworks: TensorFlow, PyTorch, Keras, Scikit-Learn.

It would be ideal if you also had:

  • Experience of deploying ML Models in Azure and Databricks environment using MLFlow
  • know machine learning algorithms and frameworks – TensorFlow, PyTorch2can code in Python,
  • Deploy your code on AWS/GCP/Azure,
  • Have a good grasp of CI/CD pipelines, IaC (Infrastructure-as-code) tools (like Terraform, Azure ARM),
  • Have experience in working with relational and non-relational databases, data warehousing, and data streaming frameworks (Apache Kafka/Spark/SQL/IOT Hub)
  • Familiar with concepts like firewalls, encryption, VPNs, and secure data transfer.
  • Have worked on Logging tools like LogAnalytics

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