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Senior AI Engineer – Security – India in IT & DevOps Department
in GoDaddy - India, India

Remote
Full-time
Senior
Permanent

Job description

See job offer description.


GoDaddy is seeking a Senior Security AI Engineer to lead the development of AI/ML-based security technologies and solutions aimed at threat detection, automated response, and enhancing cybersecurity measures. The role requires building and implementing AI/ML models to identify anomalies and malicious behaviors, collaborating with security analysts and engineers to create scalable AI-driven threat identification and response solutions, and leading R&D efforts in adversarial machine learning, behavioral analytics, and predictive threat modeling. The engineer will integrate machine learning capabilities into existing security platforms such as SIEM, SOAR, and EDR and keep up with emerging trends in AI and cybersecurity. The position is remote from India with occasional office visits. Required experience includes 3+ years in AI/ML applications, data engineering, feature extraction, model deployment, strong proficiency in AWS and Python, and analytical problem-solving skills. Preferred skills include graph-based threat detection, NLP for phishing/malware detection, reinforcement learning for security automation, adversarial ML knowledge, CI/CD tools experience, and familiarity with security tools like Splunk, Elastic, and SIEM platforms. The role offers opportunities for professional growth through collaboration, knowledge sharing, and mentorship in a dynamic environment. GoDaddy emphasizes diversity, equity, and inclusion in the workplace and offers competitive benefits including paid time off, retirement savings plans, bonuses, equity grants, health benefits, parental leave, and employee resource groups, supporting a diverse and inclusive culture. GoDaddy is an equal opportunity employer and encourages qualified applicants regardless of criminal history, in accordance with local laws.

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Benefits

  • Paid time off
  • Retirement savings (e.g., 401k, pension schemes)
  • Bonus/incentive eligibility
  • Equity grants
  • Employee stock purchase plan
  • Competitive health benefits
  • Parental leave
  • Employee Resource Groups

Job requirements

  • 3+ years AI/ML applications experience
  • Data engineering, feature extraction, model deployment experience
  • Strong AWS proficiency
  • Strong Python programming skills
  • Analytical and problem-solving skills
  • Knowledge of adversarial ML and model robustness techniques preferred
  • Experience with CI/CD tools like Gitlab or Jenkins preferred
  • Experience with Splunk, Elastic or other SIEM platforms preferred
  • Experience working in agile environments preferred