Machine Learning Engineer

• Build, deploy, and maintain production classification and recommendation systems serving thousands of users
• Design and implement ML pipelines for training, evaluation, and monitoring of traditional ML models
• Integrate LLM APIs and vector databases into existing ML workflows to enhance product capabilities
• Collaborate with product and engineering teams to translate business requirements into scalable ML solutions
• Optimize model performance, system reliability, and inference latency across the ML stack
• Own traditional ML systems while implementing RAG pipelines and agent frameworks to improve recommendations and search quality

Senior AI/ML Engineer

Machine Learning Engineer

Principal Product Manager, AI Infrastructure

Azure AI Engineer

Applied AI Engineer II

AI Scientist, Drug Creation