Digital, Manager, Machine Learning Engineer


Job Overview

Role Summary

The Pfizer Automation, Machine Learning and Intelligent Assistance Team, deliver and maintain the

platforms and capabilities that enable Pfizer Business Units to connect digitally with our external

customers, provide intelligent automation solutions and effectively engage/collaborate across teams

internally. We build advanced cloud-based technology solutions at a global scale that positively

impact Pfizer business performance. Pfizer is accelerating the use of digital technology across our

entire enterprise.

The Manager, 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. In addition to solution delivery and development, this role will play a

lead role in architecting, leading and developing re-usable microservices and scalable pipelines using

our Dev/Ops tools.

Finally, the Manager, Machine Learning Engineer will play a technical leadership role in coaching

junior members of the team and educating the broader Pfizer community on Artificial

Intelligence/Machine Learning concepts.

Role Responsibilities

  • Lead the vision and development of scalable analytic and machine learning pipelines to deliver stable and efficient production-ready components and solutions.

  • Lead the vision and development and deployment of machine learning-based products & microservices
    that will serve as the foundation for a scalable approach for Pfizer’s machine learning maturation

  • Partner with other Digital teams to define and execute technology POCs using innovative technologies to advance Pfizer’s analytic capabilities

  • Partner with other Data Science oriented groups within Pfizer to develop common tools & approaches through participation in formal/informal community of practice activities

  • Directly engage with key business stake-holders (Director/Sr. Director level)

  • Lead projects of up to $250,000 funding with stakeholders from requirements gathering through the full SDLC lifecycle

  • Produce executive reports and visualizations for decision makers throughout the organization

  • Managerial responsibility for up to five interns and contingent workers

  • Qualifications

  • 3 years as a data scientist/machine learning engineer

  • 1+ year experience leading projects and project teams

  • Experience with supervised and unsupervised Machine Learning techniques, with emphasis on Natural Language Processing

  • Experience with implementation of solutions with DevOps tools within the CI/CD pipeline (eg. Docker, Kubernetes, Jenkins)

  • Good proficiency with Python, Linux, Git, containerization, and high scale systems (eg. Kafka, Redis)

  • Solid understanding of good development practice and DevOps

  • Passion and experience with the latest advancements and technologies in the Deep Learning/DevOps space

  • Good written and verbal communication skills

  • Other Job Details:

  • Last Date to Apply for Job: October 30, 2020
  • Additional Location Information: Up to 10% Travel
  • Sunshine Act

    Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.

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