Ml Ops & Observability Engineer

Pfizer

Hybrid
8+ years ml engineering experience
3+ years people leadership
Aws or azure cloud-native environments
You will play a pivotal role in implementing impactful technology solutions across Pfizer from research to manufacturing

Job Summary

  • You will play a pivotal role in implementing impactful technology solutions across Pfizer from research to manufacturing.
  • The role requires owning end-to-end observability for ML systems using tools like OpenTelemetry, Prometheus, and Grafana.
  • You will lead operational reliability for ML platforms, responding to production incidents and driving systemic improvements.

Matching Summary

You will play a pivotal role in implementing impactful technology solutions across Pfizer from research to manufacturing.

Skills & Requirements

Must-have

  • 8+ years ML engineering experience
  • 3+ years people leadership
  • AWS or Azure cloud-native environments
  • OpenTelemetry Prometheus Grafana ELK
  • CI/CD pipelines for ML workloads
  • Model registry and experiment tracking
  • DevSecOps secure SDLC for AI

Nice-to-have

  • Master's degree in CS or Data Science
  • Experience with MLflow or Kubeflow
  • Background in responsible AI governance
  • AWS/Azure Professional certifications
  • Kubernetes CKA or CKAD certification
  • Cloud security or data platform certs

Key Requirements

  • 8+ years ML engineering or MLOps experience
  • 3+ years people leadership experience
  • Strong hands-on AWS or Azure experience
  • Proficiency in Python, Bash, SQL
  • Master's degree preferred (CS/Data Science)
  • Relevant cloud or Kubernetes certifications

Work Rights

Not specified

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