Senior Manager, Ml Ops & Observability Engineer

Pfizer

Hybrid
6+ years ml engineering experience
Aws or azure cloud environment expertise
Ci/cd pipeline implementation for ml
Join Pfizer Digital to leverage cutting-edge technology for critical business decisions and enhance customer experiences for colleagues, patients, and physicians

Job Summary

  • Join Pfizer Digital to leverage cutting-edge technology for critical business decisions and enhance customer experiences for colleagues, patients, and physicians.
  • Lead the design and operation of MLOps platforms supporting model development, deployment, monitoring, and lifecycle management across secure cloud-native environments.
  • Own end-to-end observability for ML systems by implementing tooling like OpenTelemetry and defining SLOs to ensure model performance and data quality.

Matching Summary

Join Pfizer Digital to leverage cutting-edge technology for critical business decisions and enhance customer experiences for colleagues, patients, and physicians.

Skills & Requirements

Must-have

  • 6+ years ML engineering experience
  • AWS or Azure cloud environment expertise
  • CI/CD pipeline implementation for ML
  • OpenTelemetry Prometheus Grafana ELK
  • Model deployment versioning rollback
  • Data drift detection and monitoring
  • DevSecOps secure SDLC practices

Nice-to-have

  • Master's degree in Computer Science
  • Experience with MLflow Kubeflow
  • Generative AI tool proficiency
  • Responsible AI governance knowledge
  • AWS/Azure Professional certifications
  • Kubernetes CKA CKAD certification
  • Curiosity for emerging AI tools

Key Requirements

  • BA/BS degree required
  • 6+ years in ML engineering or MLOps
  • Strong hands-on AWS or Azure experience
  • Proficiency in Python Bash SQL
  • Leadership abilities demonstrated
  • Experience with containerized runtimes

Work Rights

Not specified

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