Machine Learning Platform Engineer

Allstatecorporation

Base: $90,700.00 - $135,000.00 annually; bonus/equ...
Not specified (assumed hybrid based on industry standards)
Mlops tooling and productionizing ml
Python and ml libraries
Cloud platforms and ml services
Allstate is seeking a Machine Learning Platform Engineer to develop and enhance enterprise-wide machine learning platforms. The role involves building scalable systems, collaborating with teams, and leveraging cloud-native technologies to support AI/ML initiatives

Job Summary

  • At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties.
  • You will work across cloud-native infrastructure, MLOps tooling, model lifecycle automation, and scalable ML systems to accelerate the adoption of AI/ML solutions across the organization.
  • This job does not have supervisory duties.

Matching Summary

Match Score: 85

Allstate is seeking a Machine Learning Platform Engineer to develop and enhance enterprise-wide machine learning platforms. The role involves building scalable systems, collaborating with teams, and leveraging cloud-native technologies to support AI/ML initiatives.

Salary

Base: $90,700.00 - $135,000.00 annually; Bonus/Equity: Incentive pay applicable; Benefits: Not specified

Skills & Requirements

Must-have

  • MLOps tooling and productionizing ML
  • Python and ML libraries
  • Cloud platforms and ML services
  • Kubernetes, Docker, CI/CD, IaC
  • Scalable data/ML infrastructure
  • Cross-functional collaboration skills

Nice-to-have

  • Innovative drive and customer needs
  • Shaping core capabilities
  • Championing automation and continuous improvement

Key Requirements

  • 4+ years of experience in ML engineering
  • Strong software engineering background
  • Hands-on experience with machine learning workflows
  • Proficiency in Python
  • Experience with cloud platforms (Azure, AWS, GCP)
  • Experience with cloud storage/data
  • Experience with cloud-native scanning and security tools
  • Strong understanding of Kubernetes, Docker, CI/CD, Terraform/IaC
  • Understanding of system design, API architecture

Work Rights

Not specified

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