Remote ML Benchmark Analyst — Data & Metrics

Hire Feed

Lecco

Remoto

EUR 75.000 - 101.000

Tempo pieno

3 giorni fa
Candidati tra i primi
Generatore di candidature

Trasforma questo ruolo in un colloquio — un curriculum e una lettera di presentazione personalizzati in base a ciò che cerca questo datore di lavoro.

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Descrizione del lavoro

Hire Feed is seeking a Machine Learning Analyst (Remote) to join on a full-time basis, focusing on benchmarking AI systems with production-like datasets and evaluation workflows.

The ideal candidate will analyze ML training, inference, and evaluation data; define metrics to evaluate performance; and ensure data quality across experiments, collaborating with ML engineers and researchers.

Competenze

  • 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.

Mansioni

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

Conoscenze

Python for data analysis
SQL
Statistics
ML evaluation metrics

Descrizione del lavoro

Hire Feed is seeking a Machine Learning Analyst (Remote) to join on a full-time basis, focusing on benchmarking AI systems with production-like datasets and evaluation workflows.

The ideal candidate will analyze ML training, inference, and evaluation data; define metrics to evaluate performance; and ensure data quality across experiments, collaborating with ML engineers and researchers.

Ottieni la revisione del curriculum gratis e riservata.

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