Description

Build and secure mission-critical, highly available enterprise AI/ML applications.

You will own end-to-end LLM security risk management and implement automated protections. Support production deployments of AI/ML safety systems using containers, serverless, CI/CD, and APIs. Integrate AI robustness, vulnerability, and stress testing within MLOps ecosystems. Manage cloud deployments and automation frameworks for AI/ML security. Establish and govern security standards for AI/ML and Generative AI applications.

Responsibilities

• Implement end-to-end LLM security risk management processes and automated protections.
• Support production deployments of AI/ML safety systems using containers, serverless, CI/CD, and APIs.
• Integrate AI robustness, vulnerability, and stress testing capabilities within MLOps ecosystems.
• Manage cloud deployments and automation frameworks for AI/ML security systems.
• Establish and govern security standards for AI/ML and Generative AI applications.

Required Skills

• 9+ years of experience in software development or related fields.
• Proficient in Python with a focus on machine learning and data science.
• Hands-on experience with LLMs and Langchain integration.
• Strong understanding of NLP concepts.
• Experience with data preprocessing, feature engineering, and model evaluation using Pandas, Numpy, and Scikit-learn.
• Knowledge of supervised and unsupervised machine learning algorithms.
• Experience designing mission-critical, highly available enterprise applications.
• Experience with MLOps and AI/ML security systems.
• Proficiency with serverless, CI/CD, and cloud-native deployment techniques.

Key Skills

Education

Any Graduate