Senior Machine Learning Engineer

Vor 4 Tagen


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

Senior Machine Learning Engineer page is loaded

Senior Machine Learning Engineer

Apply locations Basel (City) time type Full time posted on Posted 30+ Days Ago job requisition id REQ-10015292

Job Description Summary

The ML Engineer bridges the gap between the roles of a data scientist, software engineer and DevOps, ensuring the smooth and efficient development and deployment of machine learning models at scale. The role focuses on the operational aspects of machine learning covering model development, training, testing, deployment, monitoring and maintenance.

Job Description

Major Accountabilities:

  1. Design and implement infrastructure required for deploying machine learning models. This includes setting up cloud or HPC resources, containerization and automation tools for seamless deployment and scaling of models.
  2. Implementing CI/CD pipelines to automate the testing, versioning, training and deployment of machine learning models. This ensures that models are consistently and reliably deployed without manual intervention.
  3. Establishing monitoring to track the performance and health of deployed machine learning models. This involves setting up alerts for model failures, monitoring data drift, and conducting regular performance evaluations to optimize model accuracy and efficiency.
  4. Support the delivery of high-quality data for training and testing machine learning models, applying automated pipelines where appropriate. This includes data preprocessing and versioning to maintain consistency and provenance.
  5. Working closely with cross-functional teams, including data scientists, engineers, vendors / 3rd party providers, product managers and stakeholders, to understand requirements, provide technical guidance, and communicate progress and outcomes.
  6. Contribute to evolving the MLOps strategy with the wider community.
  7. Conduct POC's with new technologies and platforms as need arises, guided by product and data science community.

Experience Requirements (Core Skills and Capabilities):

  1. Independent self-starter who takes pride in their work and has a passion for science and engineering and a sharp analytical and problem-solving abilities. Has a strong sense of ownership, urgency, and drive.
  2. Strong written and verbal communications skills
  3. Experience with Python, R, Bash
  4. Experience with pytorch, tensorflow or jax
  5. Experience with CI/CD pipelines
  6. Experience with Container technologies
  7. Experience with MLflow
  8. Experience with AWS including Sagemaker, batch, Fargate, Parallel Cluster, RDS, S3
  9. Experience with HPC, Slurm or other job schedulers / workload manager
  10. Experience with Linux
  11. Experience with RDBMS and SQL

Additional Requirements:

  1. BS/MS in Computer Science, or commensurate experience
  2. Fluent in English
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