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As a Senior Data Scientist, you will:
· Research, design, and implement ML-based solutions for cybersecurity applications, such as anomaly detection, behavior modeling, and threat intelligence analysis.
· Lead end-to-end projects, including research, implementation, deployment, and production monitoring.
· Leverage LLMs and other ML techniques, including clustering, classification, and time-series analysis, to develop innovative solutions for cybersecurity challenges.
· Fine-tune and perform prompt tuning to optimize LLMs for tasks like phishing detection, log analysis, and malware categorization.
· Develop scalable pipelines for data preprocessing, training, and deploying ML models in production environments.
· Collaborate with data engineers and software teams to build and maintain infrastructure for data collection, storage, and processing.
· Apply unsupervised and supervised learning techniques to detect emerging threats and patterns in large-scale cybersecurity data.
· Design robust APIs and services to integrate ML and LLM solutions into existing systems.
· Propose and prototype novel ML approaches to improve our products and internal workflows.
· Stay updated on advancements in ML, including LLMs, computer vision, and graph-based models, identifying opportunities to apply them in cybersecurity.
· Provide mentorship and technical guidance to junior data scientists and engineers.
· Work closely with an Incident Response team to improve real-time detection.
· 4+ years of professional experience in ML Engineering (Advantage to GenAI) in an AI company that involves working with researchers.
· Proficiency in Python and ML packages
· Experience with AI/ML (MLOps) and a strong understanding of system architecture - Advantage
· Master's or Ph.D. in Computer Science, Statistics, Artificial Intelligence, Machine Learning, or a related field - Advantage
· Familiarity with vector databases, SQL/NoSQL systems, and API development.
· Strong problem-solving, critical thinking, and communication skills.Why Join Us:
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