Senior AI Engineer – Cybersecurity

4 days ago

Bengaluru, Karnataka, India SecPod Full time ₹ 20,00,000 - ₹ 25,00,000 per year

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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