Position Details
About this role
This role involves developing and maintaining data infrastructure to support machine learning models, including data collection, processing, and performance monitoring.
Key Responsibilities
- Build data pipelines
- Support ML model evaluation
- Analyze model failures
- Develop internal tools
- Manage datasets
Technical Overview
Focus on building data pipelines and evaluation platforms using Python and AWS cloud services, supporting ML model performance and dataset management.
Ideal Candidate
The ideal candidate is a mid-level ML data platform engineer with at least 2 years of experience in Python and cloud-based data workflows on AWS. They are independent, creative, and capable of building scalable data infrastructure for machine learning applications.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 2 years of Python experience, No experience with AWS cloud services, Lack of data pipeline development experience
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