Description

You will design and implement machine learning architectures and enterprise-grade AI applications.

Responsibilities

• Design and build machine learning application architectures and mathematical models.
• Develop and deploy supervised and unsupervised learning models while defining model accuracy.
• 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.
• Engineer mission-critical, highly available enterprise applications.

Required Skills

• 12+ years of professional experience in software engineering.
• Expertise in Python with a heavy emphasis on machine learning.
• Hands-on experience with LLMs and OpenAI APIs.
• Proficiency with Pandas, Numpy, and Scikit-learn.
• Deep knowledge of machine learning algorithms, statistics, and mathematical modeling.
• Experience with cloud-native packaging, containers, and CI/CD pipelines.
• Bachelor's degree.

Preferred Skills

• Experience with serverless architectures.
• Background in AI/ML safety systems.

Key Skills

Education

Bachelor's degree