Lead-AI/ML

Jio; Navi Mumbai; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

A leading telecommunications company in Navi Mumbai is looking for a Lead - AI/ML (Cybersecurity) to design and deploy AI-driven solutions improving cybersecurity. Candidates should have 8-12 years of experience, particularly in AI/ML, and a degree in relevant fields. This role includes overseeing model lifecycles, providing guidance to teams, and ensuring adherence to responsible AI practices. Familiarity with cybersecurity tools is essential.

Qualifications

• 8–12 years of experience with a strong track record in AI/ML, data, or advanced analytics.
• Experience delivering AI-enabled solutions in a live enterprise environment.
• Prior experience leading initiatives or mentoring team members.

Responsibilities

• Lead the design and deployment of AI-driven cybersecurity solutions.
• Define a roadmap aligned with security and technology objectives.
• Provide technical guidance to engineers and data scientists.

Skills

AI/ML expertise

Deep Learning

Machine Learning

NLP

Python

Cloud platforms (AWS/Azure/GCP)

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or Cybersecurity

Tools

SIEM

SOAR

MLOps

Job description

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 Responsibilities

• Strategy & 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 & Tooling

• Core 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.
• 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 & Qualifications

• Experience: 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.