Senior AI Engineer – Cybersecurity
4 weeks ago
Job Title: Senior AI Engineer – Cybersecurity (Prevention-First Approach) Location:Bengaluru, India (In-Office) Company:SecPod Technologies Experience:6+ years in AI/ML development with a focus on cybersecurity or any technical domainAbout SecPod AtSecPod , we are driven by aPrevention-First philosophy , building intelligent cybersecurity platforms that detect, predict, and prevent attacks before they occur. Our flagship product, empowers enterprises with automated vulnerability management, risk prioritization, and compliance, powered by cutting-edge analytics and AI. We are now expanding ourAI innovation teamto redefine how cybersecurity can be automated and made predictive at scale.Role Overview As aSenior AI Engineer , you will be at the forefront of integrating artificial intelligence into SecPod’s cybersecurity ecosystem. You will design, develop, and deploy AI models for anomaly detection, threat prediction, behavioral analytics, and intelligent automation, enabling a truly proactive cybersecurity defense.Key Responsibilities Design and implement machine learning and deep learning models to identify, predict, and prevent security threats. Build AI-driven frameworks forrisk scoring, anomaly detection,andautomated remediation. Collaborate with cybersecurity researchers to transform complex threat intelligence data into actionable insights. Work with product and data engineering teams to integrate AI pipelines intoSaner platformand upcoming products. Research and prototype generative AI models for adaptive response, data summarization, and intelligent policy generation. Develop and maintain scalable data pipelines for continuous model training, monitoring, and optimization. Mentor junior AI engineers and contribute to building SecPod’s AI capability roadmap.Qualifications & Skills Must Have: Bachelor’s or Master’s in Computer Science, AI, Data Science, or related field. 6+ years of hands-on experience in machine learning, NLP, or deep learning. Strong programming skills inPythonwith experience inPyTorch, TensorFlow, or Scikit-learn. Solid grasp ofdata engineering, model deployment (MLOps),andREST-based integrations. Prior work incybersecurity analytics, anomaly detection, or predictive modelingis highly desirable. Knowledge ofthreat intelligence, vulnerability data, or SOC workflowsis a strong plus. Familiarity withcloud platforms (AWS, GCP, Azure)andDevOps/MLOps pipelines. Good to Have: Experience withLLMs or GenAI applicationsfor cybersecurity use cases. Exposure tograph-based analytics, time-series modeling, or behavior analytics. Contributions to open-source AI or cybersecurity projects.Why Join SecPod? Be part of apioneering Prevention-First cybersecurity companyshaping the future of attack prevention. Work with cutting-edgeAI + Cybersecuritytechnology stacks. A culture that valuesinnovation, autonomy, and deep technical excellence. Opportunities for leadership growth.
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