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Machine Learning Operations Engineer

Company: RSC Solutions
Location: Newark
Posted on: January 13, 2022

Job Description:

The AI/Client Engineering team at Prudential Financial is looking for a Senior AI/Client Platform Engineer to join adiverse team dedicated to providing best-in-class data services to our customers, stakeholders, and partners.


As a part of our CDO organization, you will work with our Data Science and BUs to define solutions for institutionalizing data-driven decision-making in a cost-effective and scalable manner. The focus is on driving analytical outcomes and making an impact on the Machine Learning and AI ecosystem. The Senior AI/Client Platform Engineer with interest in various disciplines delivers services with measurable impact on internal and external customers.



Responsibilities:



  • Lead and drive machine learning projects from inception to production: build relationships with business partners and cross-functional teams.


  • Define objectives for the Machine Learning platform, own the technical roadmap, and be accountable for delivering results and making our Client customers successful.


  • Develop new platform services and technologies that enable migration of on-prem Client Models to AWS and the eventual decommissioning of on-prem models.


  • Develop tools and best practices for platform development, developer productivity, automation (MLOps, CI/CD, A/B testing), and production operations.


  • Design, Develop & deliver critical components, frameworks, services, and products using AWS SageMaker, Lambda, and container technologies in AWS.


  • Develop processes, model monitoring, and governance framework for successful Client model operationalization.


  • Define standards for engineering and operational excellence for running best-in-class Client platforms and continue to improve Client platforms to keep up with the latest innovations.


  • Assist in gathering and analyzing non-functional requirements, and translate that into technical specifications for robust, scalable, supportable solutions that work well within the overall system architecture





    Skills / Qualifications:



    • 10+ years of software engineering experience and a minimum of 3+ years as public cloud SRE (Site Reliability Engineer) focused on AI/Client infrastructure.


    • Bachelor's degree in computer science, computer engineering, or a related engineering field. Master's degree preferred.


    • Advanced proficiency with Python framework, Java, and Scala


    • Strong computer science fundamentals such as algorithms, data structures, multithreading,


    • In-depth experience building solutions using public clouds such as AWS, GCP


    • AWS certifications is a plus


    • Experience using Client platforms like SageMaker, H2O, DataRobot, etc.


    • Manage relationships in a cross-functional environment with multiple stakeholders.


    • Excellent communication and collaboration skills

Keywords: RSC Solutions, Newark , Machine Learning Operations Engineer, Engineering , Newark, New Jersey

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