Xebia

Senior MLOps Engineer

Xebia

full-time

Posted on:

Location Type: Remote

Location: Bulgaria

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Job Level

Senior

Tech Stack

AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPyTorchSparkTensorflowTerraform

About the role

  • collaborating with Platform Engineers to set the infrastructure required to run MLOps processes efficiently
  • implementing ML workflows / automating CI/CD pipelines
  • automating model deployment and implementing model monitoring
  • collaborating with Platform Engineers to implement backup and disaster recovery processes for ML workflows
  • collaborating with stakeholders to understand the key challenges and inefficiencies of Machine Learning project lifecycles within the company
  • keeping on top of the latest trends and advancements in data engineering and machine learning

Requirements

  • 2+ years of experience developing and deploying machine learning systems into production
  • 5+ years of experience as a MLOps engineer or data engineer or software developer
  • hands-on experience with cloud environments (Azure/ GCP)
  • experience with tools such as VertexAI, Spark, PyTorch, TensorFlow and MLFlow
  • knowledge of DevOps practices and tools, including Terraform
  • experience with Docker and Kubernetes
  • understanding of continuous integration and continuous deployment (CI/CD) practices
  • excellent verbal and written communication skills in English
  • Cloud (Azure, AWS, GCP) certification is a big plus
Benefits
  • Work from the European Union region and a work permit are required
Applicant Tracking System Keywords

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

Hard Skills & Tools
machine learningMLOpsCI/CDmodel deploymentmodel monitoringdata engineeringDevOpsTerraformDockerKubernetes
Soft Skills
collaborationcommunication
Certifications
Cloud certification