MLOps Engineer AI/ML Systems Deployment (TS/SCI Preferred)Dayton, OH

MLOps Engineer — AI/ML Systems DeploymentLocation: Dayton, OH preferredWork Arrangement: On-site preferred; remote may be considered for highly aligned, clearance-ready candidates able to support secure / CAC-enabled environments and travel as neededClearance: Active TS/SCI strongly preferred; active Secret may be considered for upgradeRequirement: U.S. citizenship requiredBuild and Deploy Real-World AI SystemsRackner is hiring an MLOps Engineer to move AI/ML systems from prototype to deployment to operational use in a secure, mission-focused environment.This is not a research role—this is where models become reliable, repeatable, auditable systems that run in real-world conditions.This Role Is Ideal For Engineers Who Want ToWork across AI/ML, Kubernetes, infrastructure, and mission systemsOwn deployed systems, not just experimentsBuild high-demand MLOps expertise in secure and constrained environmentsDeliver technology that is used, trusted, and operationalWhat You'll DoOperationalize AI/ML SystemsDeploy AI/ML models and ML-enabled applications into secure, real-world environmentsMove workflows from experimentation into containerized, repeatable deployment pipelinesSupport batch and real-time inference architecturesBridge model development, software engineering, and platform operationsOwn the ML LifecycleBuild and operate production-grade ML pipelinesSupport model versioning, lineage, reproducibility, and lifecycle governanceWork with tools such as MLflow, Kubeflow, Airflow, Argo, ClearML, or similar platformsBuild Cloud-Native ML InfrastructureDeploy and support Kubernetes-based ML workloadsContainerize models, pipelines, and services using Docker or similar toolsSupport CI/CD, automation, and repeatable deployment patterns for AI/ML systemsEngineer for ReliabilityMonitor model and system performance after deploymentSupport observability using tools such as Prometheus, Grafana, OpenTelemetry, or similarDetect and resolve issues related to latency, reliability, drift, degradation, or resource usageSupport Secure and Constrained EnvironmentsHelp deploy AI/ML systems in secure, CAC-enabled, or constrained environmentsSupport limited compute, restricted data, degraded connectivity, and other operational constraintsOptimize systems for reliability and usability beyond ideal lab conditionsCreate Repeatable SystemsDevelop runbooks, deployment documentation, and operational playbooksBuild systems that can be understood, maintained, and operated by othersWhat You BringCore ExperienceU.S. citizenshipBackground in deploying ML systems, AI-enabled applications, or production softwareStrong programming skills in PythonHands‑on work with Docker, containers, or containerized deploymentFamiliarity with Kubernetes or cloud‑native environmentsUnderstanding of CI/CD, automation, or pipeline-based deliveryClear communication of technical decisions, tradeoffs, and ownershipAbility to operate in a CAC-enabled or secure environmentPreferred QualificationsActive TS/SCI clearanceActive Secret clearance with eligibility for upgradeFamiliarity with ML lifecycle tools such as MLflow, Kubeflow, Airflow, Argo, ClearML, or similarBackground in model serving, inference APIs, or deploying ML systems in productionExposure to LLMs, transformer-based models, computer vision, NLP, or applied AI solutionsHands‑on work with Kubernetes-based ML workloadsKnowledge of observability and monitoring tools such as Prometheus, Grafana, or OpenTelemetryExperience in DoD, defense, intelligence, regulated, or mission‑critical settingsWork in edge, offline, air‑gapped, low‑bandwidth, D‑DIL, or limited‑compute environmentsClearance RequirementsActive TS/SCI clearance strongly preferredCandidates with an active Secret clearance may be considered and supported for upgradeCandidates without an active clearance must be:U.S. citizenseligible to obtain and maintain a clearanceable to work in a CAC-enabled or secure environmentNoteStart timelines and work scope may vary depending on clearance status and program requirements.Who We AreRackner is a software consultancy that builds cloud-native solutions for startups, enterprises, and the public sector. We are an energetic, growing team focused on solving complex problems through:Distributed systemsDevSecOpsAI/MLCloud-native architectureOur approach is cloud‑first, cost‑effective, and outcome‑driven, delivering systems that scale and perform in real-world environments.Benefits & Perks100% covered certifications & training aligned to your role401(k) with 100% match up to 6%Highly competitive PTOComprehensive Medical, Dental, Vision coverageLife Insurance + Short & Long-Term DisabilityHome office & equipment planIndustry-leading weekly pay schedule#J-18808-Ljbffr

Government Careers

Show more