Lead - ML/AI and Data Analytics

Role: AI/ML Lead (Cybersecurity)

Function: IRM COE

Location: RCP, Ghansoli, Navi Mumbai

Role Overview: Purpose and Impact

This role is responsible for strengthening the organization's cyber defense by enabling security teams with practical, AI-driven capabilities.

As the Lead AI/ML (Cybersecurity), you will define and deliver AI/ML solutions that enhance threat detection, triage, and response. You will lead the design and deployment of GenAI, agentic AI, and advanced ML models to improve signal quality, automate high-volume activities, and generate actionable security insightsenabling faster, more consistent decision-making across security operations.

This role focuses on operationalizing AI to enable increasingly automated and resilient security capabilities.

Focus Area

Impact & Results

Purpose of the Role

To design, develop, and deploy AI-driven solutions that drastically improve security efficiency and decision-making.

Impact: Hyper-Automation

Identifying and replacing repetitive, low-value manual tasks with intelligent automation and Agentic patterns.

Result: Enhanced Insights

Using GenAI and NLP to transform raw logs and alerts into clear, actionable investigation summaries for senior leadership.

Result: Explainable Defense

Ensuring all AI solutions are built on principles of trust and responsibility, aligning with strict privacy and risk governance.

Result: Scalable Innovation

Integrating custom-built AI models into existing SIEM, SOAR, and VM platforms via robust APIs and microservices.

Tools and Technical Approach

You will use a modern AI/ML and engineering stack to address complex, high-priority cybersecurity challenges.

Domain

Tools, Techniques & Frameworks to Master

Generative AI & NLP

LLMs and NLP for summarization and analysis, including mitigation of hallucinations and validation in security use cases.

Advanced AI Patterns

Agentic AI patterns, orchestration frameworks, and MCP-style integrations where applicable.

Cyber Defense Ops

Deep understanding of SOC workflows, Vulnerability Management, and MITRE ATT&CK frameworks.

AI-Assisted Dev

Use AI-assisted development tools (e.g., Claude, Cursor, GitHub Copilot) to accelerate research, prototyping, and delivery.

MLOps & Engineering

Python-driven workloads, drift management, model explainability, and cloud-scale deployment (AWS/Azure/GCP).

Key Responsibilities

AI Strategy and Roadmap

• Lead the end-to-end design and deployment of GenAI and ML solutions for prioritized security use cases.
• Define the AI/ML roadmap to align with broader enterprise security and technology goals.
• Translate operational requirements into scalable, automated solutions.

Technical Leadership & Model Management

• Oversee the entire model lifecyclefrom validation and monitoring to performance optimization.
• Provide technical mentorship to engineers and data scientists working on AI-enabled initiatives.
• Drive responsible AI practices to ensure solutions are secure, explainable, and compliant with applicable privacy and governance requirements.

Cross-Functional Integration

• Partner with SOC and Risk teams to identify high-effort, repetitive activities suitable for AI enablement.
• Support the seamless integration of AI capabilities into enterprise security platforms through APIs.
• Communicate AI outcomes and limitations clearly to senior stakeholders in a business-relevant way.

Required Qualifications

Experience

• 812 years of total experience, with a heavy focus on AI/ML, data, or advanced analytics.
• Proven track record of delivering production-grade AI solutions in enterprise environments.
• Sufficient understanding of the Cybersecurity domain to design relevant, high-impact use cases.

Education

• Bachelor's or Master's degree in Computer Science, Data Science, AI, or Cybersecurity.

Preferred Attributes

• A Strategic Mindset that can operate in ambiguous problem spaces and guide implementation.
• Hands-on experience with Agentic AI and modern orchestration frameworks.
• Strong appreciation for the ethical and secure usage of AI in a risk-sensitive environment.