Industrialization Lead for AI-Powered Data Pipelines
hace 2 días
Pfizer is a global leader in the pharmaceutical industry, dedicated to delivering life-changing healthcare solutions. Our Digital organization leverages cutting-edge technology to inform critical business decisions and improve customer experiences.
Job DescriptionWe are seeking an Industrialization Lead to join our Artificial Intelligence, Data, and Analytics organization (AIDA). As an integral part of our team, you will play a key role in scaling data and insights capabilities, driving Pfizer's digital transformation forward.
Key Responsibilities:- Design and implement scalable pipelines for data and machine learning workflows.
- Enable production models across the ML lifecycle, ensuring seamless integration with our infrastructure.
- Develop and maintain model performance metrics and monitoring dashboards, providing actionable insights to stakeholders.
- Implement retraining trigger mechanisms, champion/challenger model automation, and CI/CD orchestration for data science pipelines.
- Manage production deployments, post-deployment model lifecycle management, including drift monitoring, model retraining, and technical evaluation & business validation.
- Bachelor's degree in a related field, such as ML engineering, Computer Science, or Information Systems.
- Understanding of the data science development lifecycle and hands-on skills in ML engineering and data science.
- Strong self-motivation, ability to work independently and collaboratively, and creativity in tackling new challenges.
- Excellent English communication skills, both written and verbal.
- Advanced degree in a related field.
- Experience with data science enabling technology, such as Dataiku Data Science Studio or AWS SageMaker.
- Hands-on experience working in Agile teams, processes, and practices.
- Understanding of MLOps principles and tech stack, including MLFlow.
- Experience in CI/CD integration, cloud-based analytics ecosystems, and cloud-based technologies.
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