Senior AI/ML Platform Engineer: Scale, Automation & Governance

TalentBridge; Denver (CO); On-site; USD 140,000 - 210,000; Full time

Job summary

TalentBridge seeks a Senior AI/ML Platform Engineer to design, build, and scale enterprise AI/ML infrastructure across cloud ecosystems. This hands-on role focuses on secure, observable, and reliable platforms enabling production-grade workloads.

You'll implement reusable patterns, CI/CD pipelines, and governance, partnering with data and security teams to drive enterprise adoption of AI/ML capabilities.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience).
• Experience building, operating, or supporting production AI/ML platforms within cloud environments.
• Hands-on experience with at least one AI/ML platform such as Databricks, AWS SageMaker, MLflow, Azure ML, or Vertex AI.
• Strong background with CI/CD, Infrastructure as Code, environment management, secrets management, access controls, and deployment automation.
• Experience supporting model development and deployment beyond experimentation and notebook-based workflows.

Responsibilities

• Design, build, and support enterprise AI/ML platforms across Databricks, AWS, MLflow, model registries, model serving, feature stores, and related technologies.
• Develop reusable patterns for model development, deployment, monitoring, security, and production support.
• Implement CI/CD pipelines, infrastructure automation, secrets management, access controls, and deployment frameworks.
• Support batch, streaming, real-time, and API-based model deployment architectures.
• Define engineering standards for experimentation, model promotion, observability, governance, and operational support.
• Partner with data, security, infrastructure, and architecture teams to deliver production-ready AI/ML capabilities.
• Build reference architectures, templates, and platform enablement resources to support enterprise adoption.

Skills

CI/CD

Infrastructure as Code

Environment management

Secrets management

Access controls

Deployment automation

Education

Bachelor's degree in Computer Science / Engineering / Information Systems or related field

Tools

Databricks

AWS SageMaker

MLflow

Azure ML

Vertex AI

Job description

TalentBridge seeks a Senior AI/ML Platform Engineer to design, build, and scale enterprise AI/ML infrastructure across cloud ecosystems. This hands-on role focuses on secure, observable, and reliable platforms enabling production-grade workloads.

You'll implement reusable patterns, CI/CD pipelines, and governance, partnering with data and security teams to drive enterprise adoption of AI/ML capabilities.