MLOps Engineer - AI/ML Systems Deployment (TS/SCI

operational.Key ResponsibilitiesOperationalize AI/ML systems by deploying models into secure environments, moving workflows into containerized pipelines, and supporting batch/real-time inference architectures.Own the ML lifecycle by building production-grade pipelines, managing model versioning and lineage, and using tools like MLflow, Kubeflow, Airflow, Argo, or ClearML.Build cloud-native ML infrastructure on Kubernetes, containerize models with Docker, and support CI/CD for AI/ML systems.Engineer for reliability by monitoring system performance with tools like Prometheus, Grafana, or OpenTelemetry, and resolving issues related to latency, drift, or resource usage.Support secure/constrained environments with limited compute, restricted data, or degraded connectivity.Create repeatable systems through runbooks, documentation, and operational playbooks.QualificationsCore Experience: U.S. citizenship, background in deploying ML systems or production software, strong Python skills, hands-on, trusted, and operational.Key ResponsibilitiesOperationalize AI/ML systems by deploying models into secure environments, moving workflows into containerized pipelines, and supporting batch/real-time inference architectures.Own the ML lifecycle by building production-grade pipelines, managing model versioning and lineage, and using tools like MLflow, Kubeflow, Airflow, Argo, or ClearML.Build cloud-native ML infrastructure on Kubernetes, containerize models with Docker, and support CI/CD for AI/ML systems.Engineer for reliability by monitoring system performance with tools like Prometheus, Grafana, or OpenTelemetry, and resolving issues related to latency, drift, or resource usage.Support secure/constrained environments with limited compute, restricted data, or degraded connectivity.Create repeatable systems through runbooks, documentation, and operational playbooks.QualificationsCore Experience: U.S. citizenship, background in deploying ML systems or production software, strong

Docker/container experience, familiarity with Kubernetes or cloud-native environments, understanding of CI/CD, clear communication, and ability to work in secure/CAC-enabled environments.Preferred Qualifications: Active TS/SCI clearance, active Secret with upgrade eligibility, experience with ML lifecycle tools (MLflow, Kubeflow, etc.), model serving/inference APIs, LLMs/transformers, Kubernetes-based ML workloads, observability tools, DoD/defense background, and exposure to edge/offline environments.Clearance Requirements: Active TS/SCI strongly preferred; active Secret may be considered; candidates without clearance must be U.S. citizens eligible to obtain/maintain clearance and work in secure environments.Note: Start timelines may vary based on clearance status.Company OverviewRackner is a software consultancy building cloud-native solutions for startups, enterprises, and the public sector, focusing on distributed systems, DevSecOps, AI/ML, and cloud-native, Python skills, hands-on Docker/container experience, familiarity with Kubernetes or cloud-native environments, understanding of CI/CD, clear communication, and ability to work in secure/CAC-enabled environments.Preferred Qualifications: Active TS/SCI clearance, active Secret with upgrade eligibility, experience with ML lifecycle tools (MLflow, Kubeflow, etc.), model serving/inference APIs, LLMs/transformers, Kubernetes-based ML workloads, observability tools, DoD/defense background, and exposure to edge/offline environments.Clearance Requirements: Active TS/SCI strongly preferred; active Secret may be considered; candidates without clearance must be U.S. citizens eligible to obtain/maintain clearance and work in secure environments.Note: Start timelines may vary based on clearance status.Company OverviewRackner is a software consultancy building cloud-native solutions for startups, enterprises, and the public sector, focusing on distributed systems, DevSecOps, AI/ML, and

architecture.Benefits100% covered certifications & training401(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 scheduleApplicationIf you are an engineer who wants to move from building models or platforms to owning deployed AI/ML systems, we would like to connect.#J-18808-Ljbffr, cloud-native architecture.Benefits100% covered certifications & training401(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 scheduleApplicationIf you are an engineer who wants to move from building models or platforms to owning deployed AI/ML systems, we would like to connect.#J-18808-Ljbffr