Proficient in Python with a focus on machine learning and data science experience
Experience with LLMS.
Strong understanding of Langchain concepts and ability to integrate them with machine learning models
Experience with NLP concepts.
Hands-on experience with data preprocessing, feature engineering, and model evaluation using Pandas, Numpy, and Scikit-learn
Strong knowledge of machine learning algorithms, including supervised and unsupervised learning techniques
Experience designing mission-critical, highly available enterprise applications
Implement end-to-end LLM security risk management processes and automated protections
Support production deployments of AI/ML safety systems using cloud-native packaging and deployment techniques like containers, serverless, CI/CD, and APIs
Deliver and integrate AI robustness, vulnerability, and stress testing capabilities with MLOps ecosystems
Provide production support and operations for AI/ML security systems
Manage cloud deployments and automation frameworks in cloud for AI/ML security systems
Establish and govern AI/ML and Generative AI application security standards
Strong interpersonal communication skills and ability to work well in a diverse team-focused environment.