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SecNinjaz is expanding its AI division to deliver next-generation cybersecurity solutions. The Technical Project Lead – AI will own the AI strategy, manage cross-functional teams, and drive end-to-end AI initiatives from concept to production.
Strong leadership and hands-on AI engineering skills are essential. The role requires 8+ years in AI/ML with at least 3+ years in leadership, and proven delivery of multiple production-grade AI/ML projects.
SecNinjaz is renowned for providing world-class IT services and cybersecurity solutions globally. Founded in 2018, SecNinjaz has evolved into a leadingcybersecurity force, combining the agility and innovation of a startup with the expertise and depth of seasoned professionals.
We serve clients across various industries, including Healthcare, Fintech, Manufacturing, Telecom, Infrastructure, and e-commerce. Our solutions are always customised, future-ready, and designed to blend technical excellence, innovation,and a deep commitment to protecting the digital world.
Employment Type: Full-Time
Experience Required: Minimum 8+ Years (3+ Years in Leadership Role)
Location: India
LLPSecninjazTechnologies LLP is an ISO 27001-certified cybersecurity companydelivering advanced security solutions across fintech, healthcare,government, corporate, and intelligence sectors. Our services includeVAPT, SIEM, Zero Trust Architecture, Cloud Security, Fintech Security,Secure Communication Systems, and Enterprise Cyber Defense. As part ofour expansion into AI-driven cybersecurity solutions, we areestablishing a dedicated AI division to build next-generationintelligent security systems
TheTechnical Project Lead – AI Development will lead and manage the entireAI division while ensuring successful execution of AI initiatives. Thisrole requires strong technical expertise, strategic thinking, projectmanagement excellence, and proven leadership capability. The selectedcandidate will be responsible for complete ownership of AI strategy,team management, model development, training, deployment, governance,and delivery execution. The candidate must have successfully executed atleast five (5) AI/ML projects end-to-end in production environments.