ML Benchmark Data Analyst

Hire Feed; Pakistan; On-site; PKR 1,200,000 - 2,100,000; Full time

Job summary

Hire Feed is seeking an MLE Bench – Data Analyst to join our team on a full‑time basis. The 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 will analyze ML training, inference, and evaluation data, define metrics, and collaborate with ML engineers and researchers to design robust evaluation scenarios.

Qualifications

• 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.

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.

Skills

Python

SQL

Statistics

Data analysis

Job description

Hire Feed is seeking an MLE Bench – Data Analyst to join our team on a full‑time basis. The 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 will analyze ML training, inference, and evaluation data, define metrics, and collaborate with ML engineers and researchers to design robust evaluation scenarios.