Sommario
About the Role
Major Accountabilities:
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.
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.
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.
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.
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.
Contribute to evolving the MLOps strategy with the wider community.
Conduct POC’s with new technologies and platforms as need arises, guided by product and data science community.
Ensure adherence to Novartis global Information Security and Quality standards and policies for all products/services.
If applicable, ensure Regulatory Compliance (e.g. GLP & GCP) standards and policies for GxP products/services.
Experience Requirements (Core Skills and Capabilities):
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.
Strong written and verbal communications skills
Experience with Python, R, Bash
Experience with pytorch, tensorflow or jax
Experience with CI/CD pipelines
Experience with Container technologies
Experience with MLflow
Experience with AWS including Sagemaker, batch, Fargate, Parallel Cluster, RDS, S3
Experience with HPC, Slurm or other job schedulers / workload manager
Experience with Linux
Experience with RDBMS and SQL
Additional Requirements:
BS/MS in Computer Science, or commensurate experience
Fluent in English
Why Novartis: Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture
Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture
Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture
Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture
Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network
Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards
Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.
