Description

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.


 

Education

Any Graduate