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Job Description

Role : AI Governance Specialist


Experience : 5 years to 8 years


Work location : Pune / Hyderabad / BangaloreHybrid or remote


Notice period : Immediate to 15 days


Shift timing : 3 :00 PM to 12 :00 AM (IST)


Ensure compliance, bias monitoring, and responsible AI governance practices.


Required Skills & Qualifications :


- 5 to 8 years in data/AI governance.


- Knowledge of AI ethics, compliance frameworks.


- Familiarity with ML lifecycle management tools.


- Strong documentation and communication skills.


Technical & Analytical Skills :


- Familiarity with ML lifecycle management tools (e.g., MLflow, ModelDB, DataRobot).


- Understanding of AI/ML algorithms, model validation, and performance monitoring.


- Deep understanding of AI ethics, fairness, transparency, and accountability.


- Familiarity with global regulations (e.g., EU AI Act, GDPR, ISO standards).


- Experience implementing responsible AI frameworks (e.g., NIST AI RMF, OECD AI Principles).


Key Responsibilities :


- Define and implement AI governance processes.


- Monitor bias, explainability, and fairness.


- Maintain model audit trails and documentation.


- Collaborate with compliance teams.


- Develop and maintain governance frameworks for AI/ML initiatives.


- Establish policies for responsible AI use across the organization.


- Maintain Model Audit Trails and Documentation


- Track model lineage, versioning, and performance metrics.


- Document decisions made during model development and deployment.


- Collaborate with Compliance, Legal, and Data Teams


- Work closely with legal and compliance teams to ensure regulatory adherence (e.g., GDPR, AI Act).


- Partner with data scientists and engineers to embed governance into the ML lifecycle.


- Risk Assessment and Mitigation


- Identify potential risks associated with AI systems (e.g., ethical, reputational, operational).


Proficiency in tools like :


- Governance platforms : Collibra, OneTrust, BigID


- ML Ops tools : MLflow, Kubeflow, SageMaker


- Bias & fairness tools : IBM AI Fairness 360, Google What-If Tool

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