Egen

Senior MLOps Engineer

Egen

full-time

Posted on:

Location Type: Remote

Location: United States

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Job Level

Senior

Tech Stack

CloudPythonTerraform

About the role

  • Design and implement MLOps pipelines to automate model training, deployment, monitoring, and management
  • Lead/mentor a team of MLOps Engineers, fostering an inclusive and collaborative environment that encourages innovation and continuous learning
  • Collaborate with Data Scientists and ML Engineers to ensure models are production-ready, scalable, and maintainable
  • Develop strategies for model versioning, testing, and deployment to facilitate a seamless and efficient development lifecycle
  • Monitor model performance and data drift, implementing automated alerts and processes for model retraining and optimization
  • Develop and maintain platforms and applications that serve as foundational components for robust and scalable ML pipelines
  • Stay at the forefront of MLOps trends, tools, and technologies, integrating new approaches to enhance our ML operations and infrastructure

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field (or equivalent work experience)
  • 4+ years of experience in the technology or data field
  • Proficient engineering and coding skills in Python and other languages
  • Strong background in AI/ML or Data Sciences technologies and platform development
  • Great multi-disciplinary knowledge of technology space (data, cloud, ops, security)
  • Excellent communication, leadership, and project management skills
  • Proficient in Infrastructure as a Code (Terraform)
  • Strong background in CI/CD workflows
  • Mastery in containerization and and container orchestration platforms
  • Sound knowledge of ML pipelines (Kubeflow, Dagster, etc.)
  • Strong Python programming skills
  • Experience in model development and training
Benefits
  • Comprehensive Health Insurance
  • Paid Leave (Vacation/PTO)
  • Paid Holidays
  • Sick Leave
  • Parental Leave
  • Bereavement Leave
  • 401 (k) Employer Match
  • Employee Referral Bonuses
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonMLOpsmodel versioningmodel testingmodel deploymentmodel retrainingCI/CD workflowscontainerizationcontainer orchestrationML pipelines
Soft Skills
leadershipcommunicationproject managementcollaborationmentoringinnovationcontinuous learninginclusivity