AI​/ML Lead C2C WA

Role: AI/ML Lead

Location:

Bellevue, WA (hybrid)

Duration: 12+ Months

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

• 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

• 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)

• 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

• 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)