MLOps Engineer

Remote
Full Time
Mid Level
MLOps Engineer: Camgian is seeking a motivated Junior MLOps Engineer to join our growing engineering team. In this role, you’ll support our Machine Learning Operations (MLOps) infrastructure, CI/CD pipelines, and automation initiatives. This position is ideal for candidates with foundational knowledge of DevOps tools who are eager to expand their current skills in MLOps.

Qualifications:
  • Bachelor’s degree in Computer Science, Software Engineering, or related field
  • 2–5 years in MLOps or automation-focused role
  • Experience with CI/CD tools (Jenkins, GitLab) for various programming languages (C/C++, Java, Python, SQL)
  • Proficiency in source code management, branching, merging, and code review
  • Strong familiarity with configuration management tools (e.g., Ansible)
  • Excellent communication and collaboration skills
  • U.S. citizenship required

Desired Skills:
  • Knowledge of artifact management tools (Artifactory)
  • Familiarity with virtualization technologies (XCP-ng, XEN)
  • Basic understanding of code quality tools (SonarQube)
  • Exposure to cloud infrastructure (AWS, Azure, GCP) and Infrastructure as Code (Terraform)
  • Interest or experience in containerization (Docker, Kubernetes) and monitoring/logging tools (Prometheus, Grafana)

Responsibilities:
  • Support machine learning workflows and data pipelines using Prefect
  • Collaborate closely with ML engineers to containerize and deploy models
  • Help monitor and analyze model performance in production
  • Maintain and enhance CI/CD pipelines using Jenkins and Bitbucket
  • Automate infrastructure provisioning with Ansible and Helm
  • Support containerization strategies and deployments (Docker, Kubernetes)
  • Document processes, present progress and findings, incorporate feedback and contribute to continuous improvement initiatives
  • Assist with troubleshooting across development, staging, and production environments
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