Not specified; not specified; comprehensive health...
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Aws sagemaker model serving
Dagster orchestration layer
Ci/cd pipeline for ml
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Group 1001 is seeking a Staff ML Engineer to develop robust MLOps infrastructure for AI and ML-powered products aimed at transforming their approach to pricing optimization, claims automation, and risk intelligence. The ideal candidate should have extensive experience in MLOps, AWS cloud infrastructure, and a strong focus on operationalizing machine learning workflows.
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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, life insurance, disability coverage, and a 401K plan with company matching contributions.
Matching Summary
Match Score: 75
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Group 1001 is seeking a Staff ML Engineer to develop robust MLOps infrastructure for AI and ML-powered products aimed at transforming their approach to pricing optimization, claims automation, and risk intelligence. The ideal candidate should have extensive experience in MLOps, AWS cloud infrastructure, and a strong focus on operationalizing machine learning workflows.
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Salary
Not specified; Not specified; Comprehensive health, dental, vision, life, disability, and 401K with match
Skills & Requirements
Must-have
AWS SageMaker model serving
Dagster orchestration layer
CI/CD pipeline for ML
Model monitoring and drift detection
Feature store architecture
Python and ML frameworks
Nice-to-have
Palantir Foundry experience
Kubernetes containerization
Cost optimization strategies
Insurance domain knowledge
Conference speaking experience
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