AWS Machine Learning Engineer

Job Description:

BASIC PURPOSE:

The primary responsibilities of the AWS Machine Learning Engineer are to design, develop and deploy Machine learning models using AI/ML technologies within the AWS framework. This role will collaborate closely with the product and software development teams to operationalize these ML solutions for automating key business processes across the enterprise for both talent-facing and internal applications.

ESSENTIAL FUNCTIONS:   

• Leverage AWS ML platform services and frameworks to deliver production ready models across multiple internal and external applications
• Build predictive and generative models specific to product needs
• Analyze large data sets and build data pipelines for model training
• Collaborate with Product Designers, Product Managers, and Software Engineers to delivering high quality, predictive models for both internal and commercial use
• Develop tools to help detect shifts in data/features used by ML models to identify issues in advance of deteriorating prediction quality, monitoring the uncertainty of model outputs, automating prediction explanation for model diagnostics
• Work with product managers to ensure that projects proceed on time and on budget
• Document process steps to ensure reasonable human oversight and traceability back to data inputs
• Resolve technical roadblocks and mitigate potential risks
• Drive Innovation and implement solutions with future thinking
• Always learning and sharing ideas and concepts with the extended Application Solution Delivery teams as the AWS ML expert for the organization
• Must be able to perform the essential functions of the job, with or without reasonable accommodation
• Other duties as assigned

REPORTING RELATIONSHIPS: 

• Reports to AVP, IT Applications