Part-Time Machine Learning Analyst (Remote)

hire feed • United Arab Emirates

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Seeking a Part-Time Machine Learning Analyst to perform hands-on analytical work with production-like datasets and ML outputs. Responsibilities include evaluating, diagnosing, and improving AI system performance using Python and SQL. Requires 3+ years of data analysis experience and strong analytical rigor.

Key Highlights

Analyze production-like datasets and ML outputs to improve AI systems.

Define, compute, and validate model performance metrics.

Utilize Python and SQL for data analysis, reporting, and evaluation workflows.

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Key Responsibilities

Analyze structured and unstructured datasets generated from ML training, inference, and evaluation pipelines.

Define, compute, and validate metrics used to evaluate 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 to analyze data, create reports, and support evaluation workflows.

Validate data quality, consistency, and correctness across datasets and experiments.

Technical Skills Required

Python SQL Machine Learning

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Benefits & Perks

Competitive pay based on experience

Remote (Work from Anywhere)

Job Description

Role: Machine Learning Analyst (Remote)
Location: Remote (Work from Anywhere)
Job Type: Part-Time
Payout: Competitive, based on experience

Role Overview:

We are hiring for one of our clients, seeking a MLE Bench – Data Analyst to work on a part-time basis. This role involves hands-on analytical work with production-like datasets, metrics, and ML outputs to help evaluate, diagnose, and improve the performance of advanced AI systems. The ideal candidate is comfortable working at the intersection of data analysis and machine learning, with strong analytical rigor and the ability to work with real datasets and ML evaluation workflows.

Key Responsibilities:

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