Sr. Associate, Machine Learning Engineer

Job Description

  • The Machine Learning Engineer will partner with key business stakeholders to scope and lead Digital project/product initiatives that support key business initiatives across Pfizer.
  • This role will be involved in understanding business processes and executing proof-of-concept initiatives as well as full production builds.

Role Responsibilities

  • Work closely with teams across Pfizer to prototype and build systems that make the lives and work of colleagues and patients easier and enhance decision-making
  • Partner with other Digital teams to define and execute technology POCs using innovative technologies to advance Pfizer s analytic capabilities
  • Directly engage with key business stake-holders (Sr. Manager level)
  • Technical leadership of Proof-of-Concept initiatives
  • Develop re-usable microservices and products that will serve as a foundation for scale and AI/ML maturation

Basic Qualifications:

  • Degree in Computer Science, Informatics, life sciences, physics, applied mathematics, statistics or related field
  • 1 year as a data scientist/machine learning engineer
  • Ability to create technical examples, prototypes, and demonstrations based on rapidly changing data sets
  • Experience with supervised and unsupervised Machine Learning techniques, with emphasis on Natural Language Processing
  • Proficiency with Python, R, and SQL
  • Good written and verbal communication skills
  • Ability to thrive in a fast-paced multi-disciplinary environment; with the ability to effectively communicate with a diverse audience

Preferred Qualifications:

  • Experience with implementation of solutions with DevOps tools within the CI/CD pipeline a plus
  • Experience with Agile a plus

Key Skills

Automation; Prototype; Machine learning; Agile; Life sciences; Natural language processing; digital transformation; SQL; Python

About Company


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