Python ML Engineer
Python ML Engineer
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Job Description
Python ML Engineer
Location: Onsite Glendale CA
Description:
Build and develop custom software for parsing and extracting healthcare information from raw patient charts and other sources using natural language processing machine learning and other techniques. Transform raw data into meaningful information using Python and visualization software. Extract and analyze information from large structured and unstructured datasets. Apply feature selection algorithms to models predicting outcomes for healthcare use. Build Hedis Quality Measure parsers including HBD COA BCS GSD and more. Work with the Clinical Support Team in ongoing work including regression testing feature development and product roadmap planning. Analyze manipulate or process large sets of data using statistical software. Participate in agile software team including daily scrum meetings sprint planning backlog refinement retro and review. Perform pair programming peer reviews and utilize best practices. Analyze data to identify business problems that can be addressed and recommend datadriven solutions. Interpret and report data findings. Utilize tools and technologies including Python S3 Lambda RDS DynamoDB SQL and APIs.
Job Requirements:
Bachelors degree or equivalent in Computer Science Data Engineering or related field plus one (1) year of Software Engineering Data Engineering or related experience: developing building integrating and maintaining the software applications used to move data from multiple sources into databases for the healthcare software products (HEDIS RISK IVA etc.); setting up physical data models including all aspects of database configurations such as indexes table spaces table partitions table constraints and relationships; creating and implementing procedures to validate process and refine project datasets; transmitting data utilizing SQL Server platform; performing ad hoc analyses against data load validation databases as well as production databases; executing data conversion processes to enable data translations and integrations from thirdparty platforms; developing ETL pipelines utilizing the Python programming language and deploying ETL pipelines to Amazon Web Services (AWS) applications; importing raw text and XML data receipts from clients into table structures; and utilizing Python Lambda and SQL. Telecommuting permissible.
Work Schedule: 40 hours/ per week
Salary: $95400/year
Location: Glendale CA
Our compensation reflects the cost of labor across several US geographic markets. Pay is based on several factors including market location and may vary depending on jobrelated knowledge skills and experience.
Reveleer EVerifies all new hires.
Reveleer is an equal opportunity employer. We do not discriminate on the basis of race religion color national origin gender gender identity sexual orientation age marital status veteran status disability status or genetic information in compliance with applicable federal state and local law.
Employment Type
Full-Time
