Pfizer is seeking an AI Engineer to develop, implement, and optimize artificial intelligence models and algorithms to drive innovation and efficiency in their Data Analytics and Supply Chain solutions, ultimately aiming to change patients' lives.
Requirements
- Over 1 years of experience in AI, machine learning, and large language models (LLMs) development and deployment.
- Strong understanding of data structures, algorithms, and software design principles
- Programming Languages: Experience in Python, SQL, and familiarity with Java or Scala.
- Big Data Technologies: Familiarity with Hadoop, Spark, and Kafka for big data processing.
- Data Warehousing: Experience with data warehousing solutions such as Amazon Redshift, Google BigQuery, or Snowflake.
- Cloud Platforms: Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
- Containerization: Understanding of Docker and Kubernetes for containerization and orchestration.
Responsibilities
- Responsible for data modeling and engineering within the advanced data platforms teams to achieve digital outcomes.
- Conceive, design, and implement Cloud Data Lake, Data Warehouse, Data Marts, and Data APIs.
- Develop complex data products that are beneficial for PGS and Allow for reusability across enterprise.
- Develop automated systems for building, testing, monitoring, and deploying ETL data pipelines within a continuous integration environment.
- Develop internal APIs and data solutions to enhance application functionality and facilitate connectivity.
- Design, develop, and implement AI models and algorithms to solve sophisticated data analytics and supply chain initiatives.
- Integrate and collaborate with different technical teams across Digital to drive overall implementation and delivery.
Other
- Must be able to work from assigned Pfizer office 2-3 days per week, or as needed by the business.
- This position requires permanent work authorization in the United States.
