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

What You’ll Do

• Deploy AI/ML models and ML-enabled applications into secure, real-world environments
• Migrate workflows from experimentation into containerized, repeatable deployment pipelines
• Sustain batch and real-time inference architectures
• Bridge model development, software engineering, and platform operations
• Own the ML lifecycle
• Build and operate production-grade ML pipelines
• Support model versioning, lineage, reproducibility, and lifecycle governance
• Work with tools such as MLflow, Kubeflow, Airflow, Argo, ClearML, or similar platforms
• Build cloud-native ML infrastructure
• Deploy and support Kubernetes-based ML workloads
• Containerize models, pipelines, and services using Docker or similar tools
• Support CI/CD, automation, and repeatable deployment patterns for AI/ML systems
• Engineer for reliability
• Monitor model and system performance after deployment
• Support observability using tools such as Prometheus, Grafana, OpenTelemetry, or similar
• Detect and resolve issues related to latency, reliability, drift, degradation, or resource usage
• Support secure and constrained environments
• Help deploy AI/ML systems in secure, CAC-enabled, or constrained environments
• Support limited compute, restricted data, degraded connectivity, and other operational constraints
• Optimize systems for reliability and usability beyond ideal lab conditions
• Create repeatable systems
• Develop runbooks, deployment documentation, and operational playbooks
• Build systems that can be understood, maintained, and operated by others

Who We Are

Rackner 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 systems
• DevSecOps
• AI/ML
• Cloud-native architecture

Our approach is cloud-first, cost-effective, and outcome-driven, delivering systems that scale and perform in real-world environments.

Benefits & Perks

• 100% covered certifications & training aligned to your role
• 401(k) with 100% match up to 6%
• Hightly competitive PTO
• Comprehensive Medical, Dental, Vision coverage
• Life Insurance + Short & Long-Term Disability
• Home office & equipment plan
• Industry-leading weekly pay schedule

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If you are an engineer who wants to move from building models or platforms to owning deployed AI/ML systems, we would like to connect.

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