Senior Machine Learning Engineer

Vor 3 Tagen


Basel, Basel-Stadt, Schweiz C028 (FCRS = CH028) Novartis Pharma AG Vollzeit

As a Senior Machine Learning Engineer at Novartis Pharma AG, you will play a critical role in bridging the gap between data science, software engineering, and DevOps. Your primary focus will be on ensuring the smooth and efficient development and deployment of machine learning models at scale.

Key Accountabilities:

  1. Design and implement infrastructure required for deploying machine learning models, including cloud or HPC resources, containerization, and automation tools for seamless deployment and scaling of models.
  2. Implementing CI/CD pipelines to automate testing, versioning, training, and deployment of machine learning models, ensuring consistent and reliable deployment without manual intervention.
  3. Establishing monitoring to track the performance and health of deployed machine learning models, setting up alerts for model failures, monitoring data drift, and conducting regular performance evaluations to optimize model accuracy and efficiency.
  4. Supporting the delivery of high-quality data for training and testing machine learning models, applying automated pipelines where appropriate, and maintaining consistency and provenance.
  5. Collaborating with cross-functional teams, including data scientists, engineers, vendors, product managers, and stakeholders, to understand requirements, provide technical guidance, and communicate progress and outcomes.
  6. Contributing to evolving the MLOps strategy with the wider community.
  7. Conducting POCs with new technologies and platforms as needed, guided by product and data science community.


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