AI/ML Lead C2C requirements Urgent in WA

Role: AI/ML Lead

Location: Bellevue, WA (hybrid)

Duration: 12+ Months

Must have:

2+ yrs of exp in: machine learning models, AI tools, Python
2+ yrs of exp Cloud Computing, Data Analysis, Data Modeling
 

Responsibilities:

Own initial model-risk clearance and the approved-use rating that gates a model into use.
Own ongoing evaluation — re-clear on version changes, evaluate against live traffic, and catch drift.
Author and own the model cards as the durable record of what was tested and what each model is cleared for.
Build and run the evaluation harness and test suites to the bar Safety Standards sets, with Cyber owning security red-teaming.
Collaborate with cross-functional teams to ensure effective integration and functionality of AI systems
Also responsible for other duties/projects as assigned by business management as needed
 

Requirements:

Bachelor’s Degree plus 3 years of related work experience
OR advanced degree with 1 year of related work experience
OR a combination of education and experience deemed equivalent (Required)
Acceptable areas of study include Computer Science, Engineering, Artificial Intelligence, Data Science, or a Related Field (Preferred)
2-4+ years Developing and deploying machine learning models, including fine-tuning and prompt engineering (Preferred)
2-4+ years Experience with AI tools and software development using programming languages such as Python or R (Preferred)
2-4+ years Collaborating with cross-functional teams to integrate AI solutions into business workflows (Preferred)
 

Required Knowledge:

Cloud Computing
Collaboration
Customer-Focused
Data Analysis
Data Management
Data Modeling
Model Tuning
Prompt Engineering
Model Evaluation
Model Cards & Documentation
Model Risk & Clearance
Preferred Knowledge, Skills and Abilities
 

Licenses and Certifications:

Certified Analytics Professional (CAP): Validates expertise in data analytics processes, including the ability to model and interpret complex data. (Preferred)
Machine Learning Certification: Demonstrates proficiency in machine learning techniques and applications, relevant for developing AI models. (Preferred)
Certified Data Scientist (CDS): Endorses skills in data science and its application in AI modeling. (Preferred)