AI/ML Architect (Cybersecurity)

Location: Hybrid in Delhi NCR; the role is also open in Bengaluru and Gurugram, India

Company

hirify.global develops a cybersecurity posture automation platform that helps organizations discover, prioritize, and mitigate risks and vulnerabilities through large-scale data collection and analysis.

What you will do

• Design and develop classical and deep learning ensembles for modeling interactions between people, software, infrastructure, and enterprise policies.
• Build statistical models and algorithms for enterprise cybersecurity risk analysis, relevance, recommendations, and graph-based problems.
• Develop production-quality machine learning solutions that balance complexity, performance, and usability.
• Design ML infrastructure and data pipelines, write production code, conduct code reviews, and collaborate with infrastructure and reliability teams.
• Drive the architecture and use of numerical computing libraries including TensorFlow, PyTorch, and ScikitLearn.

Requirements

• Ph.D. in Computer Science and Engineering or a related field.
• 3+ years of experience in machine learning, Python programming, and scalable distributed systems.
• Foundational knowledge of probability, statistics, and linear algebra.
• Expertise in advanced AI methods including deep learning, NLP, probabilistic graphical models, graph algorithms, reinforcement learning, or time-series analysis.
• Knowledge of statistical analysis, modeling techniques, and model explainability.
• Ability to solve complex problems, work across data engineering, frontend, product management, and DevOps, and communicate through strong documentation.

Culture & Benefits

• Product-focused culture centered on ownership, customer focus, curiosity, innovation, teamwork, communication, and impact.
• Opportunities to work with experienced specialists on advanced cybersecurity and AI technology.
• Emphasis on bottom-up innovation, clear goals, continuous learning, and rapid career growth.
• Open communication and close collaboration across engineering and product functions.