Data Engineer (Remote)
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Key skills for this role
About the Role
Hire Feed is hiring a Data Engineer/Data Scientist for a client to work on SWE Bench evaluation tasks. The role involves working with datasets, building data pipelines, and performing data analysis to evaluate AI systems.
Key Skills for This Role
Responsibilities
- Work with structured and unstructured datasets to support SWE bench style evaluation tasks
- Design, build, and validate data pipelines used in benchmarking and evaluation workflows
- Perform data processing, analysis, feature preparation, and validation for data science use cases
- Write, run, and modify Python code to process data and support experiments locally
- Evaluate data quality, transformations, and outputs for correctness and reproducibility
Requirements
- Minimum 3+ years of overall experience as a data engineer, data scientist, or software engineer (data focused)
- Strong proficiency in Python for data engineering and data science workflows
- Demonstrated experience with data processing, analysis, and model related workflows
- Ability to design, build, and validate data pipelines for benchmarking and evaluation workflows
Full Job Posting
Role Overview
- We are hiring for one of our clients, seeking a SWE Bench – Data Engineer/Data Scientist to work on a part time basis.
- This role involves hands on work with production like datasets, data pipelines, and data science tasks to help evaluate and improve the performance of advanced AI systems.
- The ideal candidate has strong foundations in data engineering and data science, with the ability to work across data preparation, analysis, and model related workflows in real world codebases.
Key Responsibilities
- Work with structured and unstructured datasets to support SWE bench style evaluation tasks.
- Design, build, and validate data pipelines used in benchmarking and evaluation workflows.
- Perform data processing, analysis, feature preparation, and validation for data science use cases.
- Write, run, and modify Python code to process data and support experiments locally.
- Evaluate data quality, transformations, and outputs for correctness and reproducibility.
Required Skills & Qualifications
- Minimum 3+ years of overall experience as a data engineer, data scientist, or software engineer (data focused).
- Strong proficiency in Python for data engineering and data science workflows.
- Demonstrated experience with data processing, analysis, and model related workflows.
- Ability to design, build, and validate data pipelines for benchmarking and evaluation workflows.
- Experience with code reviews to ensure high standards of code quality and maintainability.
More About the Opportunity
- This role offers a unique opportunity to work with a global leader in the Research Services industry, contributing to the evaluation and improvement of advanced AI systems.
- Collaboration with researchers and engineers will focus on designing real world data tasks for AI benchmarking.
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