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 deliver

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 tracability 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

QUALIFICATIONS:

• Bachelor’s degree in Computer Science / related engineering field OR equivalent experience In a related field
• 5+ years of software development experience
• 2+ years’ experience developing ML solutions in AWS
• Strong proficiency in the AWS Cloud ecosystem
• Proven hands-on with serverless technologies (Lambda)
• Hands on development experience developing enterprise software solutions in Python or R
• Experience with building data pipelines
• Possess the ability to understand business processes and design creative ML automation solutions
• Experience with MLOps such as AWS Workload Orchestrator
• AWS Certification highly desired
• Good written, verbal communication skills
• Great team player

Analytical Skills:
Demonstrate aptitude towards analytical and problem-solving skills and the ability to conceptually pull together patterns or connections that are not clearly related; ability to assess relevant facts, identify alternative approaches and provide the best course of action.

Strategic Agility:
Eagerness and ability to learn quickly and leverage a flexible mindset in response to shifting dynamics, adversity, and/or change; continually pushes oneself, their teams, and their businesses to learn, to generate new ideas

Disciplined Execution:
Orientation towards a process-focused, decisive course of action that will ensure client/customer needs are met with a high standard of excellence, urgency, and predictability; focused on the task at hand in the face of ambiguity and applies past experiences and expertise to consistently pull through results.

Organizational Collaboration:
Ability to partner across organizational lines and work cooperatively within and outside one’s own team to best serve client needs and exceed the expectations of end customers and clients; actively supports key decisions and promote a spirit of teamwork to demonstrate the commitment to the company.

WORK CONDITIONS:

• Must possess comfort in learning, training, and engaging with others virtually through Microsoft Teams and Zoom (remote role)