Role overview
This role offers the opportunity to work on high-impact AI/ML platforms that support data-driven decision-making across a large enterprise environment. You’ll collaborate with highly skilled engineers and data scientists while helping shape scalable, production-ready ML systems. Cullerton Group provides a professional environment with strong growth potential, exposure to modern technologies, and long-term career opportunities.
What you'll work on
Design scalable, secure architectures and pipelines for building, deploying, and monitoring production ML applications
Build and enhance MLOps platforms and self-service ML development tooling
Collaborate with internal teams to enable ML platform adoption and troubleshoot user issues
Develop CI/CD pipelines, automation, and best practices for model deployment and lifecycle management
Implement containerization, versioning, monitoring, and drift detection for ML models
What we're looking for
Experience building model inference systems and advanced deployment strategies
Familiarity with tools such as Helm, Helmfile, Terraform, or CloudFormation
Exposure to ML observability and monitoring tools
Strong communication skills and ability to translate high-level requirements into actionable tasks