Responsibilities

• Collaborate with cross-functional teams (legal, compliance, AI development) on AI methods, including Generative AI and ML.
• Document findings and present results to stakeholders.
• Develop best practices and guidance for responsible AI.
• Automate testing processes using Python and analyze model performance.
• Identify risks related to PII/PHI exposure in AI systems.
• Maintain test datasets and improve testing methodologies.
• Stay updated on AI/ML advancements and incorporate relevant findings.
• Mentor junior team members and foster a culture of continuous learning.
• Assist with Red Team testing for conversational AI systems.

Required Qualifications

• BS in Computer Science, Applied Math, or related field with 5+ years of experience.
• 5+ years in ML system development, deployment, and maintenance.
• 5+ years of experience with advanced NLP models and frameworks (e.g., scikit-learn, Pandas, NumPy).
• Strong understanding of ethical AI, fairness, and privacy considerations.
• Excellent analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience with healthcare systems (claims, call centers, etc.).
• Ability to translate business needs into technical solutions.
• Experience with large language models and adversarial testing.
• Familiarity with regulatory frameworks (e.g., HIPAA) and basic information security principles.

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