Lead I - ML Engineering

9 - 12 Years
2 Openings
Hyderabad

Role Overview

We are seeking a skilled AI Automation Engineer with a strong security background to design, develop, and maintain automation systems that enhance security operations. The role focuses on improving threat detection, streamlining security workflows, and ensuring reliable integration with existing security platforms and SDKs. The ideal candidate is proactive, technically strong, and collaborative.

Key Responsibilities (Summary)

• Design, develop, and maintain security-focused automation systems

• Implement scalable automation across multiple security platforms

• Proactively monitor and improve system performance and reliability

• Collaborate with security and development teams to align solutions with business goals

• Ensure seamless integration with predefined SDKs

• Continuously enhance automation processes using emerging AI and security technologies

Experience Required

• 9–12 years of hands-on experience in security automation, security engineering, or automation development

• Proven experience designing and implementing automation solutions in security environments

• Experience working with cross-functional teams including security, software development, and operations

• Prior experience integrating solutions using SDKs or APIs

Mandatory Skills

• Strong experience in security automation system design and development

• Proficiency in Python, Java, or C++ (Python preferred)

• Hands-on experience with security platforms/tools, such as:

  • SIEM (e.g., Splunk, QRadar)

  • IDS/IPS

  • Endpoint protection solutions

• Ability to identify, analyze, and resolve issues within automation and security systems

• Experience integrating automation solutions with existing security infrastructure

• Solid understanding of security workflows, incident response, and threat detection

• Familiarity with SDK-based integrations and ensuring compliance with SDK standards

• Strong problem-solving and troubleshooting skills

• Good communication and collaboration abilities

Good-to-Have Skills

• Experience applying AI/ML techniques in security use cases (e.g., anomaly detection, threat classification)

• Knowledge of SOAR platforms and security orchestration

• Exposure to cloud security environments (AWS, Azure, GCP)

• Experience with DevSecOps practices

• Understanding of scalable and high-availability system design

• Familiarity with containerization and orchestration tools (Docker, Kubernetes)

• Security certifications (e.g., CEH, Security+, CISSP) – nice to have

Python, AI Automation, Security Automation, Security Platforms, Machine Learning,