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Pfizer

Staff Engineer, AI Infrastructure – MLOps

Pfizer

Senior Engineer shaping AI Infrastructure & MLOps at Pfizer, focusing on automation and reliability for advanced AI/ML workloads.

Posted 4/15/2026full-timeRives de Paris • 🇫🇷 FranceLeadWebsite

Tech Stack

Tools & technologies
AWSAzureCloudDistributed SystemsGoogle Cloud PlatformKubernetesPythonTerraform

About the role

Key responsibilities & impact
  • Design, implement, and own large-scale cloud-based HPC and MLOps platforms
  • Architect multi-environment clusters (AWS, GCP, Azure)
  • Lead the development of developer and cloud platforms
  • Design, implement, and manage unified platform catalogs
  • Build and maintain Python-based automation frameworks
  • Operationalize ML model serving at scale
  • Mentor engineers and lead cross-functional teams for integrated solutions

Requirements

What you’ll need
  • 7+ years of hands-on software engineering experience in cloud infrastructure, DevOps, and MLOps.
  • Deep expertise in Python, Kubernetes, Terraform, Helm, and CI/CD pipeline development.
  • Proven experience architecting and operating containerized solutions on AWS, GCP, and Azure.
  • Strong knowledge of Infrastructure-as-Code, distributed systems, and production system reliability.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Benefits

Comp & perks
  • Pfizer is an equal opportunity employer
  • Commitment to diversity and inclusion in the workplace
  • Flexible work arrangements
  • Equal opportunities for all candidates

ATS Keywords

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Hard Skills & Tools
PythonKubernetesTerraformHelmCI/CDcloud infrastructureDevOpsMLOpsInfrastructure-as-Codedistributed systems
Soft Skills
mentoringleadershipcross-functional collaboration
Certifications
Bachelor's degreeMaster's degree