AI Engineering Director
hace 10 horas
Pfizer Digital is at the forefront of a digitally driven organization leveraging data science and advanced analytics to change patients' lives. Our team is passionate about harnessing cutting-edge technology to inform critical business decisions and improve customer experiences for our patients and physicians.
Role Overview
The Industrialization team within Enterprise Data Science and Advanced Analytics leads the scaling of data and insights capabilities - critical drivers and enablers of Pfizer's digital transformation. As an AI Engineering Director, you will set a vision and provide day-to-day leadership, supervision, and mentorship for a team of individual contributors with functional expertise that includes analytics, data science, ML Ops, and engineering.
Key Responsibilities
- Interface with Enterprise Architecture team to operationalize the vision of MLOps enablement
- Build ML engineering capabilities and contribute to the broader talent building framework
- Provide direction for ML engineering research, design, and implementation of best practices, and facilitate related trainings
- Lead the advancement of at scale MLOps enablement across bespoke analytics
- Partner with AIDA Platforms team on continuous development and end-to-end capability integration between OOB platforms and internal engineered components
Requirements
- Bachelor's degree in ML engineering related area (Data Science, Computer Engineering, Computer Science, Information Systems, Engineering or a related discipline)
- 7+ years of work experience in data science, analytics, or engineering for a diverse range of projects
- Deep expertise with data science enabling technology, such as Dataiku Data Science Studio, AWS SageMaker or other data science platforms
- Strong hands-on skills in ML engineering and data science (e.g., Python, industrialized ETL software)
- Experience working in a cloud-based analytics ecosystem (AWS, Snowflake, etc)
About You
- Highly self-motivated to deliver both independently and with strong team collaboration
- Ability to creatively take on new challenges and work outside comfort zone
- Strong English communication skills (written & verbal)
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