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Machine Learning Operations Engineer (Secret) (4253)

SMX

$103,200 - $172,000
Apr 15, 2025
Boulder, CO, US
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The company is looking to deploy and optimize machine learning models for always-on, high-availability systems in real-world, real-time unclassified and classified environments.

Requirements

  • Proficiency in writing clean, maintainable code for automation and basic scripting tasks
  • Basic familiarity with MLflow, Kubeflow, or similar platforms for managing ML experiments and pipelines
  • Familiarity with C++ and/or Rust
  • Experience with workflow orchestration tools such as Airflow or Prefect
  • Experience with distributed data processing frameworks such as PySpark
  • Familiarity with SQL and modern database technologies (e.g., MinIO, Yugabyte)
  • Experience with DVC, Ansible, Kustomize, Helm, Prometheus, and Grafana

Responsibilities

  • Deploy and maintain high-performing ML models in real-time environments
  • Monitor deployed models for drift or performance degradation and implement automated retraining pipelines
  • Develop modular and flexible ML pipelines that ensure uptime and reliability
  • Set up robust monitoring, logging, and alerting systems using Prometheus, Grafana, and Loki or similar systems
  • Optimize performance metrics like inference latency and system throughput while ensuring fault tolerance
  • Work with cross-functional teams to integrate and enhance ML systems
  • Define touchpoints and handoffs with DevOps and Data Engineering to ensure seamless integration of ML workflows with existing infrastructure and data pipelines

Other

  • Secret clearance
  • 4+ years of experience, including deploying and/or maintaining at least one ML model or pipeline in a production environment
  • Excellent communication and collaboration capabilities
  • Ability to thrive in a dynamic, fast-paced environment
  • Good written and verbal communication skills
  • Detail oriented
  • Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related technical field
  • Relevant certifications (e.g., Certified Kubernetes Administrator, Certified Kubernetes Application Developer, Terraform Associate)
  • Position location is on-site in Boulder, CO 5 days per week