Required Skills:
• 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.
Any Graduate