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Cloud Engineer, Sr. Associate

The Artificial Intelligence (AI) CoE's mission is to deliver world-class Artificial Intelligence and Automation solutions to enable transformational value and insights to drive Pfizer's business performance.  Our team consists of highly driven, business savvy, technically talented people who strive to deliver innovative solutions that enable Pfizer's business strategies. Pfizer AI CoE is looking for a talented and hands on Cloud Engineer to drive the engineering and adoption of Cloud Capabilities for supporting advanced analytics tools, platforms, framework and methodologies across Pfizer. General scope of the role will be to support the development and execution of cloud services for Analytics, Machine Learning (ML) and AI (Artificial Intelligence) solutions globally. In this highly visible role, the successful candidate will design, plan, automate, implement and support cloud services for Analytics, Machine Learning and Artificial Intelligence. ROLE RESPONSIBILITIES End to end hands-on technical delivery of projects/programs related to Cloud for Analytics, ML and AI Work with multi-domain and cross-functional teams consisting of both domain experts and technical SME's Create and manage capabilities and services in support of the overall Cloud Strategy for Analytics, Machine Learning and Artificial Intelligence Evaluate, implement, and manage Cloud solutions globally Lead research and proof-of-concepts activities, develop use cases and publish Point-of-views and/or best practice guidance for broad internal consumption Create and implement appropriate policies, procedures and training material for cloud solutions and services Provide ongoing architectural review, testing and implementation of new cloud technologies Provide innovative and cost effective cloud solutions with high quality and fast time to market Drive Issue resolution - Analyze, troubleshoot, and/or fine-tune product performance or deployment issues when required QUALIFICATIONS Required Bachelors in Computer Science, Information Systems, Electronics, Electrical or related fields with a focus on cloud computing 2-5 years of relevant work experience in an enterprise environment. 2+ years' experience with Public Clouds like AWS, Azure and Google 2+ years' experience working with Linux/Unix operating systems. 2+ years of experience working with Python Strong working knowledge of SQL Strong verbal and written communication skills Ability to thrive in a fast paced multi-disciplinary environment Experience in virtualization, cloud technologies, containerization, and software defined infrastructure, API's Experience working with Compute, Storage, Databases and Machine Learning products and services from leading public providers like AWS, Azure, and Google Preferred Master's Degree or PhD in relevant field Experience working with MapR and/or AWS EMR distribution of Hadoop Programming experience with Javascript, JAVA, .Net, Scala, Node.js and R Experience working with compliance domains like GXP, SoX, etc.. Familiarity with MPP technologies like AWS Redshift/Spectrum, Teradata, Netezza, etc.. Experience with Automation scripts, run book workflows, frameworks like Ansible, Chef, Puppet, etc. 4714203
Salary Range: NA
Minimum Qualification
Less than 5 years

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