Cloud Data Engineer (Remote)
Role: SWE Bench – Data Engineer/Data Scientist Location: Remote (Work from Anywhere) * Payout: Competitive Role Overview: We are hiring for one of our clients, seeking a SWE Bench – Data Engineer/Data Scientist to work on a full-time basis.
Skills
About This Role
Overview
- **Role:**
SWE Bench – Data Engineer/Data Scientist
- **Location**
- : Remote (Work from Anywhere)
- **Payout:**
Role Overview
We are hiring for one of our clients, seeking a SWE Bench – Data Engineer/Data Scientist to work on a full-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
- Contribute to benchmark-driven evaluation projects focused on real-world data engineering and data science workflows.
- Work with structured and unstructured datasets to support data preparation, analysis, and model-related workflows.
- Develop and maintain data pipelines to support data science tasks and AI system evaluation.
- Collaborate with cross-functional teams to identify and address data-related challenges and opportunities.
- Stay up-to-date with emerging trends and technologies in data engineering and data science.
- Participate in code reviews and contribute to the development of high-quality, production-ready code.
Required Skills & Qualifications
- Strong foundations in data engineering and data science, with experience working with production-like datasets and data pipelines.
- Proficiency in programming languages such as Python, Java, or C++, and experience with data science libraries and frameworks.
- Excellent problem-solving skills, with the ability to analyze complex data-related challenges and develop effective solutions.
- Strong communication and collaboration skills, with experience working with cross-functional teams.
- Experience with data visualization tools and techniques, and the ability to communicate complex data insights to non-technical stakeholders.
- Strong understanding of AI system evaluation and benchmarking methodologies, and the ability to contribute to the development of evaluation frameworks and metrics.
More About the Opportunity
This role offers a unique opportunity to work with a global leader in the AI and research industries, contributing to the development and evaluation of cutting-edge AI systems.
The ideal candidate will have the opportunity to work with a talented team of data scientists and engineers, and to make a meaningful impact on the development of AI technologies.
Equal Opportunity Employer
We hire based on skills and expertise.
All qualified candidates are welcome regardless of background, experience, or prior employment history.
Applications are reviewed solely on demonstrated technical ability and qualifications.
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