Senior Security Engineer - AI/ML (Remote - India) at Jobgether

, , India -

Full Time

Start Date

Immediate

Expiry Date

12 Jan, 26

Salary

0.0

Posted On

14 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI/ML Models, Anomaly Detection, Threat Identification, Python Programming, Data Engineering, Cloud Platforms, AWS, Streaming Data Processing, Batch Data Processing, CI/CD Tools, Agile Development, SIEM Platforms, Log Analysis, Incident Investigation, Adversarial Machine Learning, Behavioral Analytics

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Security Engineer - AI/ML in India. As a Senior Security Engineer specializing in AI/ML, you will lead the development and deployment of advanced machine learning solutions to enhance cybersecurity across enterprise systems. You will design AI models to detect anomalies, automate threat responses, and support predictive threat intelligence, ensuring the protection of critical digital assets. This role provides the opportunity to collaborate with security teams, contribute to research on adversarial ML and behavioral analytics, and integrate cutting-edge AI techniques into existing security platforms. You will work in a dynamic environment that values innovation, continuous learning, and mentorship, with the ability to influence and strengthen organizational security posture. Accountabilities: Build, implement, and maintain AI/ML models for anomaly detection, threat identification, and malicious activity prevention. Collaborate with security analysts and engineers to design scalable AI-driven security solutions. Conduct research and development in areas such as adversarial machine learning, behavioral analytics, and predictive threat modeling. Integrate machine learning capabilities into existing security platforms (e.g., SIEM, SOAR, EDR). Monitor emerging trends in AI, cybersecurity, and threat intelligence, applying them to enhance security strategies. Assess, trial, and deploy new security technologies in collaboration with security architects and engineers. Mentor team members and contribute to knowledge sharing across the security engineering team. 3+ years of hands-on experience applying AI/ML to security use cases. Strong Python programming proficiency and experience with data engineering, feature extraction, and model deployment. Expertise in cloud platforms, preferably AWS, including services relevant to AI and security. Experience with streaming and batch data processing for security analytics. Knowledge of CI/CD tools (e.g., GitLab, Jenkins) and agile development practices. Familiarity with SIEM platforms such as Splunk, Elastic, or equivalent, including log analysis and incident investigation. Strong analytical, problem-solving, and critical thinking skills. Knowledge of adversarial machine learning, model robustness, or reinforcement learning in security contexts is a plus. Competitive salary with performance-based incentives. Remote-friendly work environment with flexible arrangements. Opportunities for professional growth, mentorship, and continuous learning in AI and cybersecurity. Exposure to cutting-edge security technologies and AI research initiatives. Health, wellness, and family-friendly benefits, including paid time off and parental leave. Inclusive and diverse workplace culture promoting innovation and collaboration. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

Lead the development and deployment of advanced machine learning solutions to enhance cybersecurity. Collaborate with security teams to design scalable AI-driven security solutions and conduct research in adversarial machine learning and predictive threat modeling.