Senior Data Engineer, MLOps
$5000 per yearRemotedxb
About the Company
Quanata is an insurance technology innovation company on a mission to ensure a better world through context-based insurance solutions. Wholly owned and funded by State Farm, we engineer advanced risk prediction and prevention solutions and build AI-native insurance platforms.
Responsibilities
- Operationalize key data science solutions for risk-prediction products
- Design and build ML pipelines using AWS services like SageMaker and tools like MLflow
- Stand up and operate a shared feature store using Snowflake Snowpark and Kafka
- Own real-time inference services and manage blue/green or canary deployments
- Implement comprehensive testing strategies within CI/CD pipelines
- Enable ML Governance through model and data versioning
- Implement event-driven orchestration for automated retraining and redeployment
- Monitor production models for performance, drift, and data quality
Requirements
- Bachelor's degree or equivalent relevant experience
- 8 years of industry experience with 2 years focused in MLOps
- 2 years in software engineering or equivalent
- Comprehensive experience in Python and Docker
- Proficiency in IaC tools like Terraform
- Expertise in designing and managing scalable MLOps solutions on AWS
- Experience with AWS Step Functions and CI/CD for machine learning
Preferred Qualifications
- Experience with large-scale distributed systems or complex APIs
- Proficiency in Snowflake Snowpark for Python/Java/Scala
- Prior experience in the insurance industry or highly regulated environments
Benefits
- Medical, dental, vision, and life insurance
- 401(k) Plan with company match
- Four weeks of PTO in the first year
- Twelve weeks of fully paid parental leave
- $5,000 annual professional development allowance
- $2,000 one-time home office equipment stipend
Vacancy posted 4 days ago
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