Proficient in Python with a focus on machine learning.
Knowledge to develop prompt for chatbot applications.
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.