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Machine Learning Analyst (Remote)

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Abu Dhabi, UAE
Part-time
Entry
Onsite
Discovered 1 weeks ago
PythonSQLMachine learning output analysisML evaluation metricsStatisticsData quality validation
Free

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PythonSQLMachine learning output analysis
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Role Overview

Part-time Machine Learning Analyst role focused on evaluating, diagnosing, and improving advanced AI systems.

Work involves production-like datasets, metrics, ML outputs, real datasets, and machine learning evaluation workflows.

The role collaborates with ML engineers and researchers on benchmark-driven evaluation scenarios.

Location and Work Arrangement

  • The position is remote.

Compensation

  • Payout is competitive and based on experience.

Key Responsibilities

  • Analyze structured and unstructured datasets from ML training, inference, and evaluation pipelines.
  • Define, compute, and validate metrics for evaluating model performance and behavior.
  • Investigate data distributions, model outputs, failure modes, and edge cases relevant to benchmark tasks.
  • Write and run Python and SQL code for data analysis, reporting, and evaluation workflows.
  • Validate data quality, consistency, and correctness across datasets and experiments.

Required Skills and Qualifications

  • At least 3 years of experience as a data analyst or analytics-focused engineer.
  • Strong proficiency in Python for data analysis.
  • Solid experience with SQL and relational datasets.
  • Experience analyzing ML outputs and evaluation metrics.
  • Strong understanding of statistics and analytical reasoning.

Opportunity Context

The opportunity supports benchmark-driven evaluation projects for real-world machine learning systems in the software development, technology, internet, data infrastructure, and analytics sectors.

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