Senior AI/ML Platform Architect & MLOps Lead

Machine Learning Technologies, LLC; Linthicum (MD); On-site; USD 170,000 - 230,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking a Senior AI/ML Platform Engineer to design, implement, and operate a shared enterprise AI/ML platform. You will focus on platform automation, MLOps, CI/CD, cloud infrastructure, observability, reliability engineering, and cost optimization.

Responsibilities include building CI/CD pipelines, Terraform/Ansible automation, Kubernetes management, and maintaining model lifecycle components such as tracking, registries, and drift monitoring.

Qualifications

• 10+ years in platform engineering/MLOps or data/software engineering with 2+ years in production ML systems
• Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or related technical discipline; Master’s preferred
• Strong Python production-grade software development is required
• Experience designing and improving ML CI/CD pipelines, automation frameworks, and deployment processes
• Hands-on experience with AWS, Azure, or GCP, including cloud resource management and cost optimization
• Advanced Kubernetes experience (cluster management, quotas, autoscaling, scheduling) and strong observability knowledge
• Production experience with Terraform and Ansible
• Solid understanding of ML lifecycle: experiment tracking, model registries, feature stores, model serving, drift monitoring
• Experience with automated model validation, testing, A/B testing, canary deployments, rollbacks and production releases
• Experience developing internal SDKs, CLI tools, reusable templates, APIs, and standardized deployment workflows
• Strong troubleshooting, incident response, root-cause analysis, and technical documentation skills

Responsibilities

• Design, implement, operate, and continuously improve the shared enterprise AI/ML platform
• Automate platform operations, CI/CD, and deployment workflows
• Manage cloud infrastructure and cost optimization
• Enhance observability and reliability engineering for the platform
• Lead internal tooling (SDKs/CLI) and developer experience
• Collaborate across teams on platform APIs and GitOps practices

Skills

Python

MLOps

Kubernetes

CI/CD

Cloud platforms

Observability

Terraform

Ansible

Model lifecycle

Experiment tracking

A/B testing

Automation

SDKs/CLI

Education

Bachelor's degree in CS/IS/Engineering/Business

Master's degree preferred

Tools

Prometheus

Grafana

Datadog

OpenTelemetry

Job description

Machine Learning Technologies, LLC is seeking a Senior AI/ML Platform Engineer to design, implement, and operate a shared enterprise AI/ML platform. You will focus on platform automation, MLOps, CI/CD, cloud infrastructure, observability, reliability engineering, and cost optimization.

Responsibilities include building CI/CD pipelines, Terraform/Ansible automation, Kubernetes management, and maintaining model lifecycle components such as tracking, registries, and drift monitoring.