AI Ethics & Governance Specialist

Pozent

2 - 8 years

4 - 10 Lacs

hyderabad

Posted:Just now| Platform:

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Skills Required

computer science legal compliance compliance risk assessment hipaa healthcare management risk management iso iec python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Role Overview

Lead responsible AI initiatives by ensuring ethical deployment, regulatory compliance, risk management, and model explainability across AI systems. Champion trustworthy and transparent AI practices.
Responsibilities

Develop and implement responsible AI frameworks, policies, and governance structures
Conduct ethical assessments and risk evaluations for AI systems and models
Ensure compliance with AI regulations (GDPR, AI Act, CCPA, industry standards)
Perform bias audits, fairness testing, and discrimination risk assessments
Implement model explainability and interpretability solutions (SHAP, LIME, attention visualization)
Create documentation and transparency reports for AI systems
Collaborate with legal, compliance, and technical teams on AI governance
Train teams on responsible AI practices and ethical considerations
Monitor emerging AI regulations and update policies accordingly

Requirements

Bachelors degree
in Computer Science, Law, Ethics, Public Policy, or related field
Strong understanding of
responsible AI
principles and frameworks
Proven experience with
AI compliance
and regulatory requirements
Expertise in
risk assessment
methodologies for AI systems
Hands-on experience with
explainability
tools and techniques (SHAP, LIME, InterpretML)
Knowledge of AI ethics, fairness metrics, and bias mitigation strategies
Understanding of ML model development lifecycle and deployment practices
Excellent communication skills to explain complex technical concepts to non-technical stakeholders

Preferred

Advanced degree (MS/PhD) in relevant field or law degree with tech focus
Experience with AI governance frameworks (NIST AI RMF, ISO/IEC standards, EU AI Act)
Familiarity with industry-specific regulations (healthcare HIPAA, finance regulations)
Technical background with Python and ML frameworks
Experience conducting algorithmic impact assessments
Knowledge of privacy-preserving techniques (differential privacy, federated learning)
Certifications in AI ethics or governance
Experience working with cross-functional and executive teams

Technical Skills

AI explainability tools (SHAP, LIME, Captum, InterpretML)
Understanding of ML models and their potential risks
Documentation and audit trail management
Risk assessment frameworks and methodologies

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