Machine Learning Scientist

Job Summary

To enhance enterprise data ecosystems, the hybrid ML / Applied Scientist will develop machine learning models for entity resolution, intelligent data classification, and data profiling while collaborating with cross-functional teams to integrate AI capabilities into various platforms.

Key responsibilities

• Design and develop entity matching models using fuzzy and exact matching techniques
• Build machine learning models to identify patterns and anomalies in complex datasets
• Deploy and continuously improve machine learning models on Vertex AI for optimal performance

Required qualifications

• 5+ years of experience in applied machine learning, focusing on entity resolution, classification, or NLP
• Strong programming skills in Python and experience with machine learning frameworks like PyTorch or scikit-learn
• Experience deploying and evaluating machine learning models in cloud ML platforms such as Vertex AI
• Familiarity with large language models (LLMs) and NLP techniques for various use cases
• Proven experience in designing labeling and training workflows with AI-assisted approaches