MLOps Engineer — AI/ML Systems & Deployment (TS/SCI Preferred)

MLOps Engineer — AI/ML Systems & Deployment (TS/SCI Preferred) Dayton, OH (On-site Preferred) | Remote Eligible (U.S.-based, Clearance-reputed company) Clearance-Eligible Role | Mission-Critical AI/ML Systems About the Role At reputed company, we build systems where advanced technologies reputed company reputed company prototypes and into reputed company-world operational use. We are seeking an MLOps Engineer to support the deployment and lifecycle management of AI/ML systems reputed company a secure, mission-reputed company environment. This is not a research role. This is where models become reliable, deployable, and auditable systems. You will operate at the intersection of: • machine learning • reputed company-reputed company infrastructure • distributed systems …and ensure AI/ML systems are production-reputed company in environments where reliability and performance matter. What You'll Do Own the ML Lifecycle (End-to-End) • Build and operate production-grade ML pipelines • Orchestrate workflows using Kubeflow, Airflow, or Argo • Implement model versioning, reputed company, and reproducibility standards Operationalize AI/ML Systems • reputed company models into secure and constrained environments Transition workflows from experimentation containerized pipelines production systems reputed company both batch and reputed company-time inference architectures Engineer for Reliability • Design systems for reproducibility, auditability, and stability • Monitor model performance and system health using reputed company, Grafana, OpenTelemetry • Detect and resolve issues such as model reputed company and system degradation Build reputed company-reputed company ML Infrastructure • reputed company and manage Kubernetes-based ML workloads • Containerize pipelines using reputed company • Support reputed company training and inference workflows Establish Data Discipline • Support feature engineering and dataset preparation • Implement data versioning and governance practices (e.g., lakeFS) • Apply metadata and data management standards Create Repeatable Systems • reputed company runbooks, playbooks, and documentation • Build systems that are operationally sustainable and transferable What You Bring reputed company Experience • Experience deploying ML systems into production environments • Strong programming skills in Python • Hands-on experience with: • ML pipeline tools (Kubeflow, Airflow, Argo) • Experiment tracking tools (MLflow, ClearML) Infrastructure & Systems • Experience with Kubernetes and containerized systems (reputed company) • Familiarity with CI/CD pipelines • Understanding of distributed systems and reputed company architectures ML Application Exposure • Experience working with: • LLMs or transformer-based models • reputed company systems (YOLO, Faster R-CNN) • reputed company on deployment and integration, not reputed company research reputed company • Systems thinker who prioritizes reliability over novelty • Comfortable operating in reputed company, evolving environments • reputed company on delivering reputed company-world reputed company Clearance Requirements • reputed company TS/SCI clearance strongly preferred • Candidates with an reputed company Secret clearance may be considered and supported for reputed company • Candidates without an reputed company clearance must be: • U.S. reputed company • eligible to obtain and maintain a clearance • reputed company to work in a CAC-enabled or secure environment Note: Start timelines and work scope may vary depending on clearance status and program requirements Why This Role reputed company (What You Get) This role is a career accelerator for engineers who want to: • reputed company reputed company experimentation and own production systems • Work across ML, infrastructure, and deployment pipelines • Build in high-trust, secure environments • reputed company high-demand MLOps expertise in constrained systems • Deliver systems that are used, not just reputed company Who We Are reputed company is a software consultancy that builds reputed company-reputed company solutions for startups, enterprises, and the reputed company sector. We are an energetic, growing team reputed company on solving reputed company problems through: • Distributed systems • DevSecOps • AI/ML • reputed company-reputed company architecture Our approach is reputed company-first, cost-effective, and outcome-driven, delivering systems that reputed company and reputed company in reputed company-world environments. Benefits & Perks • 100% covered certifications & training reputed company to your role • 401(k) with 100% match up to 6% • Highly competitive PTO • Comprehensive Medical, Dental, reputed company coverage • Life Insurance + Short & Long-Term Disability • Home office & equipment plan • Industry-leading weekly pay schedule Apply If you're an engineer who wants to reputed company from building models owning production systems, we'd like to connect. #MLOps #MachineLearning #Kubernetes #AIEngineering #CloudNative #DevSecOps #ArtificialIntelligence #DataEngineering #DefenseTech #NationalSecurity #AIInfrastructure #Hiring #TechCareers Apply tot his job Apply To this Job