Lead-AI/ML

The Lead - AI/ML (Cybersecurity) will lead the design, development, and deployment of AI-driven solutions to improve cybersecurity efficiency, decision-making, and automation across the organization. The role focuses on identifying high-impact opportunities where AI, GenAI, and automation can reduce manual effort, enhance insight generation, and improve overall security outcomes through cross-team collaboration.Key ResponsibilitiesStrategy & Roadmap: Lead the end-to-end design and deployment of AI/ML and GenAI solutions; define a roadmap aligned with enterprise security and technology objectives.Solution Development: Apply Machine Learning (ML), Deep Learning (DL), GenAI, and Agentic AI to use cases such as security analysis, investigation assistance, and automated decision support.Lifecycle Management: Oversee the full model lifecycle, including validation, monitoring, performance optimization, and drift management (MLOps).Security Integration: Support the integration of AI solutions with existing platforms (SIEM, SOAR, VM) through APIs and microservices.Responsible AI: Ensure all solutions adhere to secure, explainable, and responsible AI practices, specifically addressing hallucination handling and privacy requirements.Leadership & Influence: Provide technical guidance to engineers and data scientists; communicate AI insights and limitations to senior stakeholders in business-relevant terms.Technical Knowledge & ToolingAI / Machine Learning / GenAICore AI: Supervised/unsupervised learning, anomaly detection, and NLP.Advanced GenAI: Deep understanding of LLMs, Agentic AI patterns, and AI orchestration frameworks.Emerging Tech: Familiarity with Model Context Protocol (MCP) style integrations and modern hallucination-handling techniques.Operations: Awareness of MLOps, model explainability, and trust/ethics principles.Cybersecurity Domain (Conceptual)Workflows: Working knowledge of SOC/Cyber Defense, Vulnerability Management, and Threat Intelligence.Tooling: Familiarity with SIEM, SOAR, and industry frameworks like MITRE ATT&CK.Technology Stack (Indicative)Programming: Python or similar languages for data/AI workloads.AI-Assisted Dev: Experience using Claude, Cursor, or GitHub Copilot to accelerate prototyping and research.Infrastructure: Cloud platforms (AWS/Azure/GCP), SQL/NoSQL databases, and Data Lakes.Experience & QualificationsExperience: 8–12 years of total experience with a strong track record in AI/ML, data, or advanced analytics.Production Success: Demonstrated experience delivering AI-enabled solutions in a live enterprise production environment.Leadership: Prior experience leading initiatives, mentoring team members, or influencing technical direction.Education: Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or Cybersecurity.Certifications: AI/ML or Cybersecurity certifications are a plus but not mandatory.

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