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Machine Learning Engineer at M1 Technology
Chantilly, Virginia, United States -
Full Time

Start Date

Immediate

Expiry Date

18 Jun, 26

Salary

0.0

Posted On

20 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Sql, Oracle, Mysql, Postgresql, Nosql, Etl, Apis, Python, Java, Scala, Data Visualizations, Ml/Ai Software, Aws, Apache Hadoop

Industry

IT Services and IT Consulting

Description
DESCRIPTION M1 is seeking a Machine Learning Engineer to support a sponsor effort to bring its enterprise services into compliance with Federal data standards and formats. REQUIRED SKILLS 1. Demonstrated experience designing, creating tables, views, relationships, and scripting (SQL) with database systems (e.g., Oracle, MySQL, PostgreSQL, SQL, NOSQL, and/or structured and unstructured data). 2. Demonstrated experience with implementing and using extract, transform, and load (ETL) tools. 3. Demonstrated experience implementing, using, and creating Data Application Programming Interfaces (APIs) or data services. 4. Demonstrated experience with Python, Java, and Scala programming languages. 5. Demonstrated experience implementing, using, and creating data visualizations. 6. Demonstrated experience implementing, using, or creating ML/AI software, tools, and services. 7. Demonstrated experience using or creating Amazon Web Services (AWS)-based analytic tools and services. 8. Demonstrated experience using and implementing Apache Hadoop. PREFERRED SKILLS 1. Demonstrated experience with using and creating Tableau visualizations. 2. Demonstrated experience with using and creating workspaces in Bluescape. 3. Demonstrated experience working with data services in the Sponsor’s cloud environment. 4. Demonstrated experience with the Sponsor’s HR data and database environment. 5. Demonstrated experience using SharePoint, and adding and integrating content. 6. Demonstrated knowledge of Agile Project Management Methodology.
Responsibilities
The Machine Learning Engineer will support an effort to bring enterprise services into compliance with Federal data standards and formats. This involves extensive work with databases, data transformation, and API implementation.