About the Role

We are seeking a Cyber Security with strong expertise in implementing secure and compliant AI/ML solutions. The role will focus on ensuring responsible AI adoption, data security, compliance, and governance across AI/ML projects. The ideal candidate will have hands-on experience in security architecture, cloud platforms (especially Microsoft Azure), and governance frameworks, with proven knowledge of AI/ML lifecycle risks.

Key Responsibilities

• AI/ML Security & Governance

  • Design, implement, and manage governance frameworks for AI/ML systems to ensure compliance with regulatory, ethical, and organizational standards.

  • Assess AI/ML models and pipelines for risks such as bias, fairness, privacy, and explainability.

  • Define and enforce AI/ML security policies, controls, and monitoring mechanisms.

• Security Architecture (Azure Focused)

  • Design and maintain secure cloud-based ML/AI solutions on Microsoft Azure.

  • Implement Identity & Access Management (IAM), Key Vault, encryption, and security monitoring for ML workloads.

  • Support compliance with industry standards (ISO, GDPR, HIPAA, SOC2, etc.).

• Governance & Risk Management

  • Establish model governance, monitoring, and audit mechanisms across the ML lifecycle.

  • Conduct risk assessments and threat modeling for AI/ML applications.

  • Collaborate with compliance, risk, and IT security teams to ensure responsible AI adoption.

• Operational Excellence

  • Support incident response and vulnerability management for AI/ML environments.

  • Provide security awareness and governance best practices for AI/ML teams.

  • Document governance frameworks, security policies, and compliance reports.

Required Skills & Qualifications

• Experience:

  • 2.5+ years of professional experience in AI/ML governance, security, or cloud security architecture.

  • Hands-on experience with AI/ML model lifecycle security (data handling, training, deployment, monitoring).

• Technical Skills:

  • Strong knowledge of Microsoft Azure AI/ML services (Azure ML, Cognitive Services, Synapse).

  • Expertise in Azure Security architecture (Defender, Sentinel, Key Vault, IAM).

  • Understanding of data security, encryption, and compliance frameworks.

  • Familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn) and MLOps concepts.

  • Knowledge of Responsible AI principles (bias detection, model explainability, privacy-preserving ML).

• Certifications (Required/Preferred):

  • Microsoft Certified: Azure Security Architect Expert (Required).

  • AI/ML Certification (e.g., Microsoft Certified: Azure AI Engineer Associate, AWS Machine Learning Specialty, or equivalent).

• Soft Skills:

  • Strong analytical and problem-solving skills.

  • Excellent communication and stakeholder management skills.

  • Ability to work cross-functionally with security, compliance, and data science teams.