Description

You will lead bias mitigation strategies for AI systems, ensuring compliance with government policies and Executive Orders.

This role is on-site.

Responsibilities

• Assess legacy AI systems for bias and develop appropriate mitigation approaches.
• Compare legacy and bias-mitigated models for performance, accuracy, and business objective achievement.
• Refine models until bias mitigation is achieved and parity with legacy models is met.
• Document findings, publish code to repositories, and prepare standard operating procedures.
• Communicate the intent of AI government policies and Executive Orders to leadership.

Required Skills

• Minimum 8 years of Data Scientist experience.
• Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or Information Science.
• Experience with Machine Learning (ML) and data quality assessment, governance, and protection.
• Knowledge of TensorFlow, PyTorch, and scikit-learn.
• Experience with Natural Language Processing (NLP), including spaCy, NLTK, BERT, and RoBERTa.
• Familiarity with ethical AI considerations including fairness, transparency, and accountability.
• Understanding of the full system development lifecycle and production-worthy AI systems.
• Proficiency with JavaScript and ES6+ features.
• Ability to obtain and maintain a Public Trust.

Preferred Skills

• Experience with IBM AI Fairness 360 (AIF360).
• Knowledge of Azure ML.

Key Skills

Education

Bachelor's Degree