AI Engineer for Risk & Remediation Automation

Apptad Inc; Bellevue (WA); On-site; USD 120,000 - 160,000; Full time

Job summary

Apptad Inc. is seeking a machine learning professional in Bellevue, WA to design, develop, and deploy AI/ML models and scale them within business workflows. You will collaborate with cross-functional teams to integrate AI solutions and optimize data pipelines.

The role requires 2–4+ years in ML model development, tuning, and AI tooling, with strong Python or R programming capabilities. A relevant degree and hands-on cloud experience are valued.

Qualifications

• 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)

Skills

Cloud Computing

Collaboration

Customer-Focused

Data Analysis

Data Management

Data Modeling

Model Tuning

Prompt Engineering

Enterprise-Scale Scanning & Automation

Remediation Automation

Risk Tiering & Prioritization

Education

Bachelor's degree + 3 years experience

Advanced degree + 1 year experience

Equivalent combination of education & experience

Preferred areas of study: CS, Engineering, AI, Data Science

Job description

Apptad Inc. is seeking a machine learning professional in Bellevue, WA to design, develop, and deploy AI/ML models and scale them within business workflows. You will collaborate with cross-functional teams to integrate AI solutions and optimize data pipelines.

The role requires 2–4+ years in ML model development, tuning, and AI tooling, with strong Python or R programming capabilities. A relevant degree and hands-on cloud experience are valued.