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
Lead the design and operation of MLOps platforms to support model development, deployment, and lifecycle management within Pfizer's Commercial Creation Center

Job Summary

  • Lead the design and operation of MLOps platforms to support model development, deployment, and lifecycle management within Pfizer's Commercial Creation Center.
  • Own end-to-end observability for ML systems by implementing tools like OpenTelemetry, Prometheus, and Grafana to track model performance and data drift.
  • Partner with infrastructure and compliance teams to ensure secure, scalable, and responsible AI operations while mentoring engineers on best practices.

Matching Summary

Lead the design and operation of MLOps platforms to support model development, deployment, and lifecycle management within Pfizer's Commercial Creation Center.

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 and monitoring
  • Python Bash SQL programming
  • DevSecOps secure SDLC

Nice-to-have

  • Master's degree in CS or Data Science
  • Experience with MLflow Kubeflow
  • Generative AI tool proficiency
  • Responsible AI governance knowledge
  • Cloud security certifications
  • Kubernetes CKA CKAD certification

Key Requirements

  • BA/BS degree required
  • 6+ years experience in ML engineering or MLOps
  • Proven leadership abilities

Work Rights

Not specified

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