Senior Machine Learning Engineer [$320k/yr+] TS/SCI-FS Poly

SYSTOLIC, INC.

Annapolis Junction, MD, United States

3 months ago

Apply on clearancejobs.com

Prepare application

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Compensation

$320,000.0

Working hours

Regular working hours

Job source

clearancejobs.com

Tech stack

Java (Programming Language) Amazon Web Services Data Analysis Confluence JIRA Apache Lucene Data Systems Linux Programming Tools Eclipse (Software) MapReduce IntelliJ IDEA

+13 more

Python (Programming Language) Machine Learning Scala (Programming Language) SQL Databases Data Streaming Jupyter Notebook Large Language Models Random Forest Apache Spark Gitlab Git Scikit Learn Virtual Agents

Job description

Develop and prototype compliance and business processing analytics and tools.
Automate compliance functions and improve existing methods.
Integrate and test compliance modernization Machine Learning/AI algorithms and research proof-of-concepts.
Build and monitor Machine Learning models and data flows., * Develop, enhance, and prototype compliance and business processing analytics and tools.
Automate and improve compliance functions using new methods.
Investigate, integrate, and test Machine Learning/AI algorithms and research proof-of-concepts.
Develop and monitor Machine Learning models, metrics, and data flows.
Utilize Java, Scala, and Python for development.
Work with data technologies including Lucene, JEXL, SQL, Ghostmachine (Map/Reduce), GM Learn, and Spark.
Apply Machine Learning expertise, including Random Forest, Scikit-learn, model building, monitoring, and feature development.
Develop in a Linux operating environment.
Use development tools such as Jupyter Notebooks, IntelliJ/Eclipse, Git/Gitlab, Jira, and Confluence.
Leverage Data Science skills, including Exploratory Data Analysis (EDA).
Experience with AWS, Agentic AI, and Large Language Models (LLM.
Adhere to Agency Compliance standards and policies.
Document and review technical work.