Machine Learning Engineer

📋 Description

• Design, develop, and optimize machine learning and generative AI systems used to evaluate
• Develop large language model applications using prompt engineering, retrieval-augmented generation
• Build machine learning pipelines for content classification, claim extraction, source attribution
• Design and deploy scalable production infrastructure supporting AI applications, including model
• Develop and maintain evaluation systems to measure model factuality, groundedness, accuracy
• Monitor, debug, and optimize production machine learning systems for accuracy, reliability

🎯 Requirements

• Master's degree, or foreign equivalent, in Computer Science or a related field
• Machine learning and deep learning model development
• Natural language processing and large language model applications
• Machine learning model development and applied AI/ML engineering
• Python and machine learning frameworks, including PyTorch or TensorFlow
• Machine learning data pipeline development and processing