Senior AI Developer

Company Description CYBERTEQ is a cybersecurity technology company focused on driving digital and cyber resilience for clients across the globe. Leveraging its flagship AI-driven risk and resilience management platform, MUNIT®, CYBERTEQ helps organizations strengthen threat management, defend their digital ecosystems, and enable secure growth. The company serves a broad range of sectors, including finance, banking, insurance, telecommunications, manufacturing, and government. CYBERTEQ’s solutions are designed to deliver measurable value by improving security posture, operational continuity, and confidence in digital transformation.

Role Description The Senior AI Developer will design, develop, and optimize AI models and solutions that enhance CYBERTEQ’s MUNIT® platform and related cybersecurity offerings. Day-to-day responsibilities include building and refining algorithms for pattern recognition, neural networks, and natural language processing, as well as integrating these models into production-grade software systems. The role involves close collaboration with cybersecurity experts, product managers, and software engineers to translate security use cases into robust AI-driven features. The Senior AI Developer will also review code, mentor team members, and contribute to architectural decisions and technology roadmap planning. This is a full-time, on-site role based in Mumbai.

Qualifications

• Strong foundation in Computer Science , including algorithms, data structures, and systems design.
• Demonstrated expertise in Neural Networks and Pattern Recognition , with experience implementing and tuning ML models.
• Hands-on experience in Natural Language Processing (NLP) , including model development and deployment for text-based security or analytics use cases.
• Proficiency in Software Development , using modern programming languages (e.g., Python, Java, or similar) and standard development practices.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch), model lifecycle management, and scalable AI architectures.
• Understanding of cybersecurity concepts, threat modeling, and risk management is highly beneficial.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related technical discipline.
• Ability to work collaboratively in cross-functional teams, mentor colleagues, and communicate complex technical topics clearly.