Pierce Professional Resources

MLOps Engineer

Pierce Professional Resources

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

Distributed SystemsGoGrafanaKubernetesPrometheusPythonTerraform

About the role

  • We are seeking a highly skilled MLOps Engineer to design, build, and operate scalable machine learning infrastructure that supports modern AI applications.
  • Build and operate robust data, embedding, and prompt pipelines to support production AI/ML workloads.
  • Maintain a secure and scalable system for managing AI agent identity, versioning, and registration.
  • Deliver automated workflows for model deployment and infrastructure provisioning using modern DevOps tooling.
  • Design and implement primitives for distributed coordination and orchestration of ML agents and services.
  • Implement observability, monitoring, and guarded execution frameworks to ensure safe and reliable AI system behavior.

Requirements

  • Strong experience with MLOps, DevOps, or SRE practices in production environments.
  • Hands-on expertise with CI/CD pipelines and Infrastructure as Code (Terraform, Pulumi, etc.).
  • Solid understanding of data engineering, feature/embedding pipelines, and ML model deployment.
  • Familiarity with observability tooling (Prometheus, Grafana, ELK, OpenTelemetry, etc.).
  • Experience with distributed systems and coordination mechanisms (e.g., Kubernetes, service meshes, message queues).
  • Proficiency in one or more languages: Python, Go, or similar.
  • Bonus: Knowledge of LLM ops, prompt engineering infrastructure, or agent frameworks.