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 Pfizers machine learning maturation Partner with other Digital teams to define and execute technology POCs using innovative technologies to advance Pfizers 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
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.
Job Description Ref #: 5576448 Department: Information Technology City: Bangalore State/Province: Karnataka Country: India Company Description Ralph Lauren Corpo [...]
Position Title Associate Product Manager Schedule Full-Time Location Bengaluru OVERVIEW Course5 Intelligence We enable organizations to make the most effective strategic and tactical moves relating to [...]
Job Description Position Title Associate Product Manager Schedule Full-Time Location Bengaluru OVERVIEW Course5 Intelligence We enable organizations to make the most effective strategic a [...]
Greetings from Encora! A leading SaaS technology product service Engineering company! Encora is looking for Azure Cloud Devops with 7-12 years experience in Azure Cloud, Azure Devops, and IaC/provis [...]