Machine Learning Process Engineer
Title:
Machine Learning Process Engineer Clearance Level:
None (Able to Obtain Public Trust) Location:
Remote (EST Hours) Program Details &
Summary:
Our client is seeking a Machine Learning Process Engineer to join our team of qualified, diverse individuals.
The ideal candidate shall develop and implement technical or analytical applications to transform raw data to meaningful information to detect fraudulent activities or quality issues using data oriented programming language and visualization software.
Put your years of experience and training into a future of excellence by joining a team delivering cutting edge technology solutions to our clients.
This position will be as a remote employee and support the Pandemic Response Accountability Committee (PRAC).
PRAC was established to promote transparency and conduct and support oversight of covered funds and the Coronavirus response to prevent and detect fraud, waste, abuse, and mismanagement (FWA&M) and mitigate major risks that cut across program and agency boundaries.
This position will work with a team to fulfill the IT objectives of this task order by building off of the existing technology architecture in PRAC's secure Azure Moderate FedRAMP hosted environment.
The high level project objectives include implementing new Analytics tools, developing analytic rules and models to identify fraud, waste, and abuse, and providing investigative support.
Minimum LCAT Requirements - Certifications:
Education:
Bachelor's or higher Years of
Experience:
3
years of experience Required Technology Skills:
3
years of experience designing, implementing, and maintaining advanced AI systems and predictive models, including both supervised and unsupervised models.
3
years of experience utilizing a variety of machine learning libraries and packages, such as TensorFlow (TF), Scikit-Learn, Natural Language Toolkit (NLTK), and Pandas.
3
years of experience supporting data science initiatives, including supporting data scientists with code development and data preparation.
2
years of experience using Python and SQL.
Day to Day
Responsibilities:
Architect Machine Learning systems using leading edge tools and technologies and best practices Research and select appropriate datasets Manage various data files in applicable formats and manipulate data for analytics Develop mock data to support developer testing Run Machine Learning tests and experiments Fine tune using test results Take the Next Step If you are ready to take on the next step in your career and this seems like the perfect job for you, send us your updated resume.
Submit your resume and receive email alerts with new job opportunities that match your interests.
Join the TSG Talent Network to receive email alerts with new job opportunities that match your interests.
.
Estimated Salary: $20 to $28 per hour based on qualifications.
Machine Learning Process Engineer Clearance Level:
None (Able to Obtain Public Trust) Location:
Remote (EST Hours) Program Details &
Summary:
Our client is seeking a Machine Learning Process Engineer to join our team of qualified, diverse individuals.
The ideal candidate shall develop and implement technical or analytical applications to transform raw data to meaningful information to detect fraudulent activities or quality issues using data oriented programming language and visualization software.
Put your years of experience and training into a future of excellence by joining a team delivering cutting edge technology solutions to our clients.
This position will be as a remote employee and support the Pandemic Response Accountability Committee (PRAC).
PRAC was established to promote transparency and conduct and support oversight of covered funds and the Coronavirus response to prevent and detect fraud, waste, abuse, and mismanagement (FWA&M) and mitigate major risks that cut across program and agency boundaries.
This position will work with a team to fulfill the IT objectives of this task order by building off of the existing technology architecture in PRAC's secure Azure Moderate FedRAMP hosted environment.
The high level project objectives include implementing new Analytics tools, developing analytic rules and models to identify fraud, waste, and abuse, and providing investigative support.
Minimum LCAT Requirements - Certifications:
Education:
Bachelor's or higher Years of
Experience:
3
years of experience Required Technology Skills:
3
years of experience designing, implementing, and maintaining advanced AI systems and predictive models, including both supervised and unsupervised models.
3
years of experience utilizing a variety of machine learning libraries and packages, such as TensorFlow (TF), Scikit-Learn, Natural Language Toolkit (NLTK), and Pandas.
3
years of experience supporting data science initiatives, including supporting data scientists with code development and data preparation.
2
years of experience using Python and SQL.
Day to Day
Responsibilities:
Architect Machine Learning systems using leading edge tools and technologies and best practices Research and select appropriate datasets Manage various data files in applicable formats and manipulate data for analytics Develop mock data to support developer testing Run Machine Learning tests and experiments Fine tune using test results Take the Next Step If you are ready to take on the next step in your career and this seems like the perfect job for you, send us your updated resume.
Submit your resume and receive email alerts with new job opportunities that match your interests.
Join the TSG Talent Network to receive email alerts with new job opportunities that match your interests.
.
Estimated Salary: $20 to $28 per hour based on qualifications.
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