Description
This is an on-site role in Washington, DC. Must be able to come on-site 3-5 days per week.
Must be able to work on a W-2.
Implements, refines and validates machine learning algorithms for products and applications. - Implements data pipelines consisting of data ingest data validation data cleaning and data monitoring.
Trains machine learning models validates the accuracy of the machine learning models once trained and deploys validated machine learning models into production.
Assists in the development of proof of concept solutions and contributes to studies to support future product or application development.
Researches writes and edits documentation and technical requirements including evaluation plans confluence pages white papers presentations test results technical manuals formal recommendations and reports.
Tests and evaluates solutions. Completes case studies testing and reportingo
Requirements
This is an on-site role in Washington, DC. Must be able to come on-site 3-5 days per week.
Must be able to work on a W-2.
Bachelor's degree in computer science computer engineering mathematics related technical discipline or related industry experience
Experience with machine learning deep learning data mining and/or statistical analysis tools and how to deploy and monitor machine learning models.
Strong programming and software development skills and familiarity with Python Java or Scala.
Knowledge of data pipelines and cloud technologies such as Kafka Spark and Docker.
1-3 years related experience after Bachelors.
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