Machine Learning Analyst (Remote)
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Key skills for this role
About the Role
A global technology company seeks a Data Analyst with ML focus to analyze structured and unstructured datasets from ML pipelines, define metrics, and evaluate model performance on a part-time basis.
Key Skills for This Role
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
Requirements
- Minimum 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
Full Job Posting
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.
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.
Required Skills & Qualifications
- Minimum 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.
Compensation
- Payout: Competitive, based on experience
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