Security Scientist - AI/ML Research in Bangalore, भारत

Key Responsibilities:- Design, develop, and deploy AI/ML models for cybersecurity applications.- Research emerging AI techniques and their application to threat detection, malware analysis, fraud detection, and anomaly detection.- Develop predictive models to identify and mitigate cyber threats.- Analyze large-scale security datasets, logs, and network traffic to uncover attack patterns.- Build intelligent automation for incident detection, investigation, and response.- Collaborate with Security Operations Center (SOC), threat intelligence, engineering, and product teams to integrate AI-powered security solutions.- Evaluate the effectiveness of AI models and continuously improve accuracy, performance, and scalability.- Stay current with advancements in artificial intelligence, cybersecurity, and adversarial machine learning.- Conduct experiments, publish research findings where appropriate, and contribute to innovation initiatives.- Ensure AI systems comply with security, privacy, and regulatory https://jobeax.com/link/w1d7bRHtPmfLc8oX Qualifications:- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Cybersecurity, Data Science, or a related field.- 3+ years of experience in AI/ML research or development with a focus on cybersecurity.- Strong programming skills in Python and experience with AI/ML frameworks such as PyTorch, TensorFlow, or Scikit-learn.- Knowledge of cybersecurity concepts including malware analysis, network security, endpoint security, identity security, and threat intelligence.- Experience with deep learning, natural language processing (NLP), graph machine learning, or reinforcement learning.- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.- Experience working with large datasets, distributed computing, and data engineering tools.- Strong analytical, problem-solving, and communication https://jobeax.com/link/Cexs453KRiH2S1rJ Qualifications:- Experience with Large Language Models (LLMs), AI agents, retrieval-augmented generation (RAG), and generative AI security.- Knowledge of adversarial machine learning and AI model security.- Experience with SIEM, SOAR, EDR, and XDR platforms.- Familiarity with MITRE ATT&CK, Zero Trust architecture, and threat modeling.- Security certifications such as CISSP, GSEC, CEH, or GIAC are a plus.- Publications, patents, or open-source contributions related to AI or https://jobeax.com/link/PLZ9QS2tWf2lQtKS Skills:- Programming: Python, SQL, C++, Java- AI/ML: PyTorch, TensorFlow, Scikit-learn, Hugging Face- Data: Pandas, NumPy, Spark- Cloud: AWS, Azure, Google Cloud- Security: SIEM, SOAR, IDS/IPS, EDR, Threat Intelligence- DevOps: Docker, Kubernetes, Git, CI/CDKey Competencies:- AI research and innovation- Cybersecurity expertise- Statistical analysis and data modeling- Critical thinking and problem-solving- Collaboration and communication- Continuous learning and adaptabilitySuccess Metrics:- Improved threat detection accuracy and reduced false positives.- Faster incident detection and response times.- Successful deployment of scalable AI-driven security solutions.- Measurable improvements in cybersecurity resilience through AI innovation. (ref:hirist.tech)