Machine Learning Analyst (Remote)
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Key skills for this role
Role Overview
The employer is hiring an ML Evaluation and Data Analyst for hands-on analytical work with production-like datasets, metrics, and machine learning outputs.
The role helps evaluate, diagnose, and improve advanced AI system performance.
The position combines data analysis with machine learning evaluation workflows.
Key Skills for This Role
Full Job Posting
Role Overview
The employer is hiring an ML Evaluation and Data Analyst for hands-on analytical work with production-like datasets, metrics, and machine learning outputs.
The role helps evaluate, diagnose, and improve advanced AI system performance.
The position combines data analysis with machine learning evaluation workflows.
Location
- The role is remote.
Key Responsibilities
- Analyze structured and unstructured datasets from machine learning training, inference, and evaluation pipelines.
- Define, compute, and validate model performance and behavior metrics.
- Investigate data distributions, model outputs, failure modes, and benchmark edge cases.
- Write and run Python and SQL code for analysis, reporting, and evaluation workflows.
- Validate data quality, consistency, and correctness across datasets and experiments.
Required Skills and Qualifications
- At least three years of experience as a data analyst or analytics-focused engineer is required.
- Strong proficiency in Python for data analysis is required.
- Solid SQL and relational dataset experience is required.
- Experience analyzing machine learning outputs and evaluation metrics is required.
- Strong statistics and analytical reasoning are required.
Opportunity Context
The opportunity supports benchmark-driven evaluation projects involving real-world machine learning systems.
The role collaborates with machine learning engineers and researchers to design challenging evaluation scenarios.
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