ML Benchmark Analyst (Remote, Part-Time)

Hire Feed; Dubai; On-site; AED 96,000 - 165,000; Part time

Job summary

Hire Feed is seeking a Machine Learning Analyst to work remotely on a part-time basis. The role involves hands-on analysis of production-like datasets, ML outputs, and evaluation metrics to help diagnose and improve AI systems.

The ideal candidate has 3+ years of data analytics experience, strong Python and SQL skills, and a solid grasp of statistics to support benchmark-driven evaluation projects with ML engineers and researchers.

Qualifications

• 3+ years in data analytics or analytics-focused engineering.
• Proficient in Python for data analysis.
• Solid SQL and relational datasets experience.
• Experience analyzing ML outputs and evaluation metrics.
• Strong understanding of statistics and analytical thinking.

Responsibilities

• Analyze structured and unstructured datasets from ML training, inference, and evaluation pipelines.
• Define, compute, and validate metrics to evaluate model performance.
• Investigate data distributions, model outputs, failure modes, and edge cases for 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.

Skills

Python

SQL

ML evaluation

Statistics

Job description

Hire Feed is seeking a Machine Learning Analyst to work remotely on a part-time basis. The role involves hands-on analysis of production-like datasets, ML outputs, and evaluation metrics to help diagnose and improve AI systems.

The ideal candidate has 3+ years of data analytics experience, strong Python and SQL skills, and a solid grasp of statistics to support benchmark-driven evaluation projects with ML engineers and researchers.