Company Description Com Olho is a cyber-security platform backed by multiple patents that combines ethical hacker insight with client telemetry to power transformer-based AI for real-time threat detection. The platform scores risks, recommends fixes, learns continuously, and enforces zero-trust governance to deliver scalable defense beyond traditional tools. Com Olho is associated with NASSCOM 10000 Startups, NASSCOM DeepTech Club, DSCI National Centre of Excellence, and the Maruti Suzuki Accelerator, and has received a cash grant from Facebook for Business under the Small Business Grant program.

Backed by Inflection Point Ventures, Com Olho operates as Com Olho IT Private Limited, is ISO/IEC 27001:2022 certified. It is a registered trademark and is building a team that shares a passion for advanced AI-driven security and human-centered innovation.

Role Description This is a full-time, in office AI Engineer role based in Gurugram. The AI Engineer will design, build, and optimize machine learning and deep learning models that strengthen Com Olho’s transformer-based threat detection and response capabilities. Day-to-day responsibilities include developing and evaluating algorithms for pattern recognition, working on neural network architectures, and implementing NLP pipelines that leverage telemetry and ethical hacker insights.





The role involves collaborating with cross-functional teams to integrate AI models into production software, ensuring performance, scalability, and security, and contributing to continuous learning frameworks. The AI Engineer will also participate in code reviews, maintain documentation, and stay current with emerging AI and cybersecurity research to enhance the platform.

Qualifications

- Strong foundation in Computer Science and Software Development, including data structures, algorithms, and production-quality coding.
- Hands-on experience with Neural Networks and Pattern Recognition, preferably in security or risk-scoring domains.
- Practical expertise in Natural Language Processing (NLP), including model training, evaluation, and deployment.
- Proficiency in programming languages commonly used for AI/ML (such as Python), and frameworks like PyTorch or TensorFlow.
- Experience with building and deploying models in real-time or large-scale systems, and familiarity with MLOps practices.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience.
- Ability to work collaboratively on-site in Gurugram, communicate complex technical concepts clearly, and document work thoroughly.
- Background in cybersecurity, anomaly detection, or zero-trust architectures is an advantage.

📌 AI Engineer (Gurugram)
🏢 Com Olho
📍 Gurugram