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

- **Company:** SYSTOLIC, INC.
- **Location:** Annapolis Junction, MD, United States
- **Experience:** Expert
- **Salary:** $320,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Data Analysis, Confluence, JIRA, Apache Lucene, Data Systems, Linux, Programming Tools, Eclipse (Software), MapReduce, IntelliJ IDEA, 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
- **Published:** June 16, 2026
- **Apply:** https://www.clearancejobs.com/jobs/8977365/senior-machine-learning-engineer-320kyr-tssci-fs-poly

## About the Role

* Degree: Technical bachelor's degree or equivalent experience
 * Years of experience: 20+ years
 * Total Compensation: $320k+ yearly (tentative)

## 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.


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