Why This Role Stands Out
Advance your backend engineering career with this hybrid role, where you'll leverage your Python, Flask, and SQL Server expertise to build scalable APIs and services. This is an excellent opportunity for experienced engineers who thrive on complex problem-solving and contributing to impactful technology solutions within a reputable company.
Quick Overview
Salary
$55 - $60/hr
Seniority
Mid Senior
Work mode
Hybrid
Location
Bellevue, WA, United States
Posted
Yesterday
Machine LearningPython
Job Description
Role: AI/ML Data Scientist
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)
In compliance with the salary transparency law, the expected pay range for this role is $50 – $70/hr. Actual compensation depends on experience and interview evaluation.
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