Machine Learning Platform - Lead Engineer

National General Holdings Corp

Base: $110,000.00 - $160,000.00 annually; bonus/eq...
Python backend development for ml systems
Kubernetes and docker containerization
Cloud platforms azure aws gcp
The role involves architecting core platforms that power enterprise-wide machine learning solutions across the organization

Job Summary

  • The role involves architecting core platforms that power enterprise-wide machine learning solutions across the organization.
  • Candidates will drive architectural decisions for distributed systems and automated MLOps workflows supporting enterprise-scale machine learning.
  • This position requires deep technical leadership in building reliable, scalable, and responsible ML adoption capabilities.

Matching Summary

The role involves architecting core platforms that power enterprise-wide machine learning solutions across the organization.

Salary

Base: $110,000.00 - $160,000.00 annually; Bonus/Equity: Incentive pay applicable; Benefits: Not specified

Skills & Requirements

Must-have

  • Python backend development for ML systems
  • Kubernetes and Docker containerization
  • Cloud platforms Azure AWS GCP
  • MLOps tools and CI/CD pipelines
  • Infrastructure as Code Terraform

Nice-to-have

  • Experience with feature stores and model registries
  • Knowledge of responsible AI principles
  • Ability to mentor engineering teams
  • Familiarity with data drift detection
  • Cross-functional collaboration skills

Key Requirements

  • 6 or more years of related experience
  • Extensive experience in ML engineering or platform engineering
  • Strong proficiency in Python programming

Work Rights

Not specified

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