Senior Applied Machine Learning Engineer

EvolutionIQ is revolutionizing the insurance industry by changing the way claims analytics are done. They are seeking a Senior Applied Machine Learning Engineer to take ownership of complex machine learning projects, collaborating closely with the ML product manager to develop and launch solutions in production.

Responsibilities:

• Work with PM to map business requirements to a machine learning solution
• Ingest and clean raw client data
• Integrate into Evolution’s machine learning platform
• Build, tune, evaluate models (create custom evaluation strategies)
• Reproduce ML prototype in a live production environment

Requirements:

• Works well with PM to map business requirements to ML architectures on a novel problem
• Acted as owner of applied ML project from conception to shipping (1 or more)
• Acted as part of an ML team that shipped a product
• Expert developer who uses writes clean, efficient, easy to understand code with unit tests, functional design patterns
• Expert in Python 3 and Pandas or equivalent data manipulation library
• Expert data architect eager to solve complex, multi dimensional big data problems with advanced strategic leverage of databases, data assets and DAG pipeline
• Excellent document writing skills
• Extreme creativity and resourcefulness, appetite to solve previously unsolved problems
• Extreme self-starter and self-motivator
• Holds self to extremely high standards, and inspires others to do the same
• Open to giving and receiving critical feedback
• Believes in the mission of the company, cares about fundamental fairness
• Able to handle the ups and downs of early startup life
• Enthusiasm for team work and pair work
• Kind, empathetic, polite and professional