Machine Learning Engineer

A U.S.-based company that provides access to the largest database ever created for healthcare sales teams while helping clients to find healthcare providers, is looking for a Machine Learning Engineer. The engineer will be part of the founding team and will be responsible for ensuring high-quality output on all data and machine learning-related tasks. The company is boosting the adoption of healthcare technologies while resolving tough problems at the nexus of healthcare and data. This is an amazing opportunity for developers to learn from a team of talented professionals while experiencing rapid career growth. 

Job Responsibilities:

• Create algorithms to depict the U.S healthcare system and take control of the Knowledge Graph Creation
• Build training datasets, evaluate the quality of the data, and offer advice on how to make the data better
• Use the most recent generative AI models to compose correspondence and research summaries for customers as an example of quick engineering
• Investigate individual records to better understand the data you're working with 
• Give and receive reliable feedback
• Take charge of entity classification and ontology building
• Use machine learning to categorize items and define classes
• Create and maintain data pipelines for data extraction to feed the knowledge graph

Job Requirements:

• Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
• At least 5+ years of relevant experience as a Machine Learning Engineer
• Extensive experience working with Python and SQL
• Must be language agnostic and prioritize quality/experience
• Strong foundation in statistics and the ability to apply the concepts in daily work
• Take pleasure in picking up new abilities quickly
• Must be passionate about healthcare and keen to gain knowledge of U.S. healthcare
• Excellent written and verbal English communication skills