Machine Learning Operations Engineer (1463)

Machine Learning Operations Engineer (1463) Zapata Technology - 4.1 Augusta, GA Job Details Full-time 1 hour ago Qualifications Security Authorization TensorFlow System hardening DevSecOps Practices Continuous Delivery (CD) implementation Ansible PyTorch Technical documentation TS/SCI Infrastructure as Code (IaC) Security engineering IT system monitoring Application deployment Mid-level 3 years Bash Automating deployment processes Information security compliance Docker Bachelor's degree Continuous improvement NIST standards Splunk DoD 8570 Vulnerability scanning Vulnerability management Root cause analysis IAT CompTIA Security+ RMF

RHCSA RHEL IAT

Level II Machine learning frameworks Incident response implementation SSCP MLOps IT security monitoring Full Job Description Referral Eligible Build and Secure the ML Platform That Powers Mission Systems We are looking for a hands-on MLOps Engineer who understands that deploying machine learning in production is not just about models — it's about reliable pipelines, hardened infrastructure, secure containers, reproducible builds, and audit-ready automation. In this role, you will design and operate the secure ML delivery platform that data scientists and developers depend on. You'll embed security directly into CI/CD, infrastructure-as-code, and container workflows so that ML systems can be deployed quickly, safely, and compliantly in a regulated government environment. If you enjoy building pipelines, automating guardrails, hardening Kubernetes, and making security invisible through great engineering — this role is for you. What the role will actually do: Build and maintain secure CI/CD pipelines for ML and application workloads Create repeatable, hardened container and Kubernetes deployment patterns Automate vulnerability scanning, SCA, image scanning, and policy gates Implement policy-as-code and security controls that run automatically in pipelines Improve Infrastructure-as-Code to reduce drift and standardize environments Enable centralized logging, monitoring, and alerting for security and operations visibility Work directly with developers and data scientists to shift security left without slowing delivery Support RMF/ATO readiness by generating evidence through automation (not paperwork) Harden systems using STIG-aligned configurations where required Participate in incident response, root cause analysis, and continuous improvement Create runbooks and operational documentation that engineers actually use

Job Qualifications:

Experience with TensorFlow and/or PyTorch in production environments Hands-on experience with CI/CD pipelines, container builds, and deployment workflows Strong scripting/automation skills (Python, Bash, or similar) Experience with Kubernetes, Docker/Podman, and secure container practices Understanding of least privilege, secrets handling, patching, logging, and vulnerability management Experience operating in regulated or compliance-driven environments Ability to clearly communicate technical risk and document processes Nice to Have/Preferred (but not required): Familiarity with NIST 800-53, RMF, or ATO processes Experience implementing DISA STIG-aligned configurations Experience with tools like Ansible, OpenSCAP, Splunk/ELK/OpenSearch/Loki/Sentinel Experience with RHEL or RHEL-based systems Background in on-prem or hybrid, segmented network environments Ops certifications (RHCSA or similar) Why Engineers Like This Role You're not bolting security on after the fact — you're engineering it into the platform Real ownership of ML delivery pipelines, not just maintenance Work that blends MLOps, DevOps, Security Engineering, and Platform Engineering Opportunity to build automation that replaces manual compliance effort Mission-driven environment where your work directly supports operational capability Education/Experience Requirements DoD 8570 IAT Level II (Security+ / SSCP or equivalent) Bachelor's degree or equivalent experience 3-6 years in MLOps, DevOps, DevSecOps, Platform, Systems, or Security Engineering Details Full-time Less than 5% travel What this job really is You are the engineer who makes it possible to deploy ML systems securely, repeatably, and audit-ready without slowing developers down.

Clearance Type:

Requires a current TS/SCI. Employment is contingent on having the required active security clearance. Zapata Technology is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Zapata Technology, Inc. provides reasonable accommodation to applicants who are veterans or who have disabilities and are unable to fully use our company application system. If you need a reasonable accommodation for any part of the application and hiring process, please notify Christina Hall, EEO Coordinator at