Staff Ml Engineer

Group 1001

Not specified; not specified; comprehensive benefi...
Aws sagemaker model serving
Dagster orchestration layer
Ci/cd pipeline automation
This role focuses on building the robust ML infrastructure required to transform pricing optimization, claims automation, and risk intelligence at scale

Job Summary

  • This role focuses on building the robust ML infrastructure required to transform pricing optimization, claims automation, and risk intelligence at scale.
  • The successful candidate will architect ML workloads on AWS using SageMaker, EKS, and Step Functions while establishing automated testing and deployment pipelines.
  • Employees are eligible for comprehensive health, dental, vision insurance, life insurance, disability coverage, and a 401K plan with company matching.

Matching Summary

This role focuses on building the robust ML infrastructure required to transform pricing optimization, claims automation, and risk intelligence at scale.

Salary

Not specified; Not specified; Comprehensive benefits including health, dental, vision, life, disability, and 401K match

Skills & Requirements

Must-have

  • AWS SageMaker model serving
  • Dagster orchestration layer
  • CI/CD pipeline automation
  • Model monitoring and drift detection
  • Feature store implementation

Nice-to-have

  • Palantir Foundry experience
  • Kubernetes containerization
  • Cost optimization strategies
  • Insurance domain expertise
  • Conference speaking engagements

Key Requirements

  • 7-10 years in ML engineering or MLOps
  • Bachelor's degree in Computer Science or related field
  • Master's degree or equivalent experience preferred
  • In-person interview required

Work Rights

Not specified

Tailored Resume

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