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AI Solutions Engineer

Open position

Bangalore
3-5 Years 
Careers  »  Current Openings  »  AI Solutions Engineer

Roles & Responsibilities:

  • Design, develop, and implement robust data pipelines for collecting, cleaning, and preparing data for model training and evaluation, specifically from web and API traffic, and security event logs.
  • Select appropriate machine learning models, with a particular emphasis on smaller, efficient models suitable for security applications (e.g., WAF, bot detection, anomaly detection, API threat prevention) and other performance-critical use cases.
  • Train, fine-tune, and evaluate machine learning models, employing techniques to optimize for performance, cost, and accuracy in identifying and mitigating security threats.
  • Deploy models into production environments, establishing and managing MLOps processes for continuous integration, delivery, and training (CI/CD/CT) within our cloud security infrastructure.
  • Monitor model performance in production, implementing strategies for regular re-tuning and updates to ensure continued accuracy and relevance against evolving threat landscapes.
  • Collaborate with product management and engineering teams to understand requirements, define AI solutions, and integrate them into existing products and new features for web and API security.
  • Drive the evolution of our MLOps practices to enhance the speed, reliability, and scalability of our AI deployments, fostering a culture of continuous improvement and innovation in AI operations.
  • Stay up-to-date with the latest advancements in applied AI, MLOps, and relevant technologies, particularly in cybersecurity AI, threat intelligence, and Generative AI for security.
  • Document AI solutions, processes, and model performance for internal stakeholders.

Job Description:

  • 3-5 years of hands-on experience in applied AI or machine learning engineering, preferably in a cybersecurity context.
  • Proven experience in developing, deploying, and maintaining machine learning models in production environments for security use cases.
  • Strong proficiency in Python and relevant AI/ML libraries/frameworks (e.g., Scikit-learn, TensorFlow Lite, PyTorch, ONNX, Hugging Face Transformers, MLflow, Kubeflow).
  • Hands-on experience with data cleaning, feature engineering, model selection, and hyperparameter tuning, particularly for smaller, efficient models tailored to security data.
  • Demonstrable experience in building and maintaining robust data pipelines and CI/CD/CT for ML systems.
  • Software development experience in building high-performant, secure, and scalable web applications or security services.
  • Fair understanding of dynamically scalable cloud architectures, ideally AWS.
  • Excellent problem-solving and analytical skills.
  • Strong verbal and written communication skills.
  • Collaborative, quality-conscious, and self-motivated with a proactive approach.
  • A passion for building, deploying, and meticulously managing the full lifecycle of impactful AI systems.
  • Experience with security AI use cases like anomaly detection, threat intelligence, or user behaviour analytics.
  • Experience with Layer 7 security concepts, web application firewalls (WAF), API security, and bot mitigation techniques.
Indusface
Indusface

Indusface is a leading application security SaaS company that secures critical Web, Mobile, and API applications of 5000+ global customers using its award-winning fully managed platform that integrates web application scanner, web application firewall, DDoS & BOT Mitigation, CDN, and threat intelligence engine.

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