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# Mid-Level Machine Learning Engineer [$264k/yr+] TS/SCI-FS Poly

- **Company:** SYSTOLIC, INC.
- **Location:** Herndon, VA, United States
- **Experience:** Experienced
- **Salary:** $264,000.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Artificial Intelligence, Apache HTTP Server, Big Data, Cloud Computing, Information Engineering, Extract Transform Load (ETL), Web Development, Elasticsearch, Apache Hive, PostgreSQL, Machine Learning, Neo4j, Node.Js, SQL Databases, Web Applications, Web Application Frameworks, ReactJS, Apache Spark, Git, Atlassian Tools, Kibana, Data Pipelines
- **Published:** September 19, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9178441/mid-level-machine-learning-engineer-264kyr-tssci-fs-poly

## About the Role

* Degree: Technical bachelor's degree or equivalent experience
 * Years of experience: 8+ years
 * Total Compensation: $264k+ yearly (tentative)

## Description

* Deploy robust web applications, construct resilient ETL data pipelines, and build advanced AI/ML solutions to accelerate analytic workflows.
 * Enable stakeholders to derive key insights from large-scale data stores using modern open-source technologies.
 * Collaborate within a multidisciplinary team of data scientists, engineers, and application developers., * Develop and deploy web applications utilizing modern frameworks including React.js, Node.js, and JavaScript.
 * Build resilient data engineering and ETL pipelines leveraging Trino, Apache Iceberg, PostgreSQL, SQL, Apache Spark, Neo4j, Elasticsearch, Kibana, and Apache Hive.
 * Implement deliverables leveraging state-of-the-art AI/ML models and data science workflows.
 * Maintain cloud infrastructure and support system accreditations for platform-hosted production applications.
 * Manage code and infrastructure repositories in Git while tracking project tasks using Jira and Confluence.
 * Provide technical guidance and subject matter expertise across AI/ML, web application development, and ETL.
 * Ensure all technical deliverables and content adhere strictly to applicable security policies and regulations.


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