Senior Manager, Ml Ops & Observability Engineer

Pfizer Venezuela S.A

Venezuela
Hybrid
6+ years ml engineering experience
Aws or azure cloud environment expertise
Ci/cd pipelines for ml workloads
Pfizer Venezuela S.A is seeking a Senior Manager for MLOps & Observability Engineering to lead the design and operation of ML platforms. The ideal candidate will have extensive experience in ML engineering and MLOps, particularly within AWS or Azure environments, and will be responsible for ensuring the reliability and observability of ML systems

Job Summary

  • Lead the design and operation of MLOps platforms to support model lifecycle management from development to production.
  • Own end-to-end observability for ML systems including model performance, data quality, and pipeline health using industry-standard tools.
  • Partner with infrastructure and DataOps teams to ensure secure, scalable, and cost-effective cloud-native environments for critical business decisions.

Matching Summary

Match Score: 85

Pfizer Venezuela S.A is seeking a Senior Manager for MLOps & Observability Engineering to lead the design and operation of ML platforms. The ideal candidate will have extensive experience in ML engineering and MLOps, particularly within AWS or Azure environments, and will be responsible for ensuring the reliability and observability of ML systems.

Skills & Requirements

Must-have

  • 6+ years ML engineering experience
  • AWS or Azure cloud environment expertise
  • CI/CD pipelines for ML workloads
  • OpenTelemetry Prometheus Grafana ELK
  • Model deployment and versioning management
  • Data drift detection and monitoring
  • Python Bash SQL programming skills

Nice-to-have

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

Key Requirements

  • BA/BS degree required
  • 6+ years in ML engineering or MLOps
  • Proven leadership abilities demonstrated
  • Strong communication and collaboration skills

Work Rights

Not specified

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