Create a free account
One signup unlocks everything for this job:
- See your personalized profile match score
- See the skills this role is missing for you
- Apply to this job and track your application
- Generate an AI cover letter for this role
Mumbai · On-site · 8-11 Yrs · Oct 7
1 open role0 posted in 7d1 in 30d
Hiring: Engineering
Job description
Overview
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.
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.
- 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.
- 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.
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.
Verify Python for this role
Free PRACTICE for Python adds a verified skill signal that can boost how roles like this rank for you — optional, not required to browse or apply.
Sign up — verify Python free →Want match scores and deeper insight? Create a free candidate profile
Job application FAQ
Last updated 31 October 2026
- How do I apply for Lead-AI/ML at Jio?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Jio may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Lead-AI/ML role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Lead-AI/ML remote or on-site in Mumbai, Maharashtra?
- This listing is marked on_site with location Mumbai, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Lead-AI/ML role at Jio?
- This is a lead Lead-AI/ML role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.