> Markdown version of [/jobs/ext/3318702-sme-machine-learning-engineer-391k-yr-ts-sci-ci-poly](https://www.wearedevelopers.com/jobs/ext/3318702-sme-machine-learning-engineer-391k-yr-ts-sci-ci-poly). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # SME Machine Learning Engineer [$391k/yr+] TS/SCI-CI Poly - **Company:** SYSTOLIC, INC. - **Location:** Herndon, VA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Cloud Computing, Continuous Integration, DevOps, Python (Programming Language), Machine Learning, SQL Databases, Data Logging, Cloud Platform System, Delivery Pipeline, Large Language Models, Containerization - **Published:** September 9, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9150787/sme-machine-learning-engineer-391kyr-tssci-ci-poly ## About the Role * Degree: Technical bachelor's degree or equivalent experience * Years of experience: 3+ years * Total Compensation: $391k+ yearly ## Description * Design and maintain resilient cloud infrastructure, CI/CD pipelines, and full-stack applications. * Implement comprehensive monitoring, logging, and operational alerting systems. * Develop and integrate machine learning and AI capabilities utilizing Python, SQL, and LLMs., * Design, implement, and maintain cloud-native infrastructure and deployment pipelines using Infrastructure as Code. * Lead and architect scalable, secure, and resilient infrastructure solutions across multiple cloud environments. * Build and optimize CI/CD pipelines for complex microservices architectures. * Develop and maintain full-stack applications while ensuring operational excellence and reliability. * Implement monitoring, logging, and alerting solutions for production systems. * Drive security-first infrastructure design and implementation. * Develop and deploy AI and machine learning solutions using Python, SQL, and Large Language Models. * Mentor team members on DevOps best practices and cloud-native technologies.