Senior Applied Machine Learning Engineer

New York City

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EvolutionIQ

EvolutionIQ is a complete claims management software that assists you in simplifying claims handling and processing. Learn more about our automated claims procedure and how can it help you improve your firm's profitability and efficiency.

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Your Role

Who are you? A machine learning engineer who wants to work in the areas of machine learning, natural language processing, information extraction, graph models, and AI architectures. You want to join a close-knit group and make a big impact. You thrive in an ambiguous environment and are intrinsically motivated and “just figure it out.” Be the technical owner of a new, complex machine learning project, working closely with Evolution’s ML product manager. Your mission starts with mapping out the opportunity and continues to launching a solution in production.

 

Outcomes

• 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 

 

Role Competencies

• 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

• Excellent document writing skills

• Extreme creativity and resourcefulness, appetite to solve previously unsolved problems

 

Other

• 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

 

Tags: Machine Learning NLP Pandas Python

Perks/benefits: Startup environment

Region: North America
Country: United States
Job stats:  257  37  0

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