Job Category: Information Technology

Director Cloud AI/ML (BC)

Job Location: Parsippany, NJ (see all jobs in NJ)

Work Type: Remote

Date Posted: 2021-12-03

Fortune Insurance Company
Parsippany, NJ (Remote)

Senior AI/ML Platform Engineer to join a diverse 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/ML 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 ML customers successful. Develop new platform services and technologies that enable migration of on-prem ML 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 ML model operationalization. Define standards for engineering and operational excellence for running best-in-class ML platforms and continue to improve ML 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/ML 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 ML platforms like SageMaker, H2O, DataRobot, etc. Manage relationships in a cross-functional environment with multiple stakeholders. Excellent communication and collaboration skills.

Please contact Brian Clark at bclark@clarkdavis.com


190K+Bonus

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