▷ [High Salary] Senior AI Engineer - Cybersecurity (Prevention-First Approach)

5 days ago

Bangalore, India SecPod Full time

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 domain About SecPod At SecPod, we are driven by a Prevention-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 our AI innovation team to redefine how cybersecurity can be automated and made predictive at scale. Role Overview As a Senior 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 for risk scoring, anomaly detection, and automated 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 into Saner platform and 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 in Python with experience in PyTorch, TensorFlow, or Scikit-learn. - Solid grasp of data engineering, model deployment (MLOps), and REST-based integrations. - Prior work in cybersecurity analytics, anomaly detection, or predictive modeling is highly desirable. - Knowledge of threat intelligence, vulnerability data, or SOC workflows is a strong plus. - Familiarity with cloud platforms (AWS, GCP, Azure) and DevOps/MLOps pipelines. Good to Have: - Experience with LLMs or GenAI applications for cybersecurity use cases. - Exposure to graph-based analytics, time-series modeling, or behavior analytics. - Contributions to open-source AI or cybersecurity projects. Why Join SecPod? - Be part of a pioneering Prevention-First cybersecurity company shaping the future of attack prevention. - Work with cutting-edge AI + Cybersecurity technology stacks. - A culture that values innovation, autonomy, and deep technical excellence. - Opportunities for leadership growth.

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