Data Engineer (Machine Learning) (Remote)

Quik Hire Staffing; India; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Quik Hire Staffing is seeking a SWE Bench – Data Engineer/Data Scientist on a full‑time basis to work remotely from anywhere. You will engage with production‑like datasets, build data pipelines, and perform data‑science tasks to benchmark and improve AI system performance.

The role requires 3+ years in data engineering/science, strong Python skills, and experience with data processing and benchmark‑oriented workflows.

Qualifications

• Minimum three years of experience in data engineering or data science with a data focus.
• Strong proficiency in Python for data‑engineering and data‑science workflows.
• Demonstrable experience with data processing, analysis, and model‑related workflows.
• Ability to create clean, well‑documented, and reusable data workflows suitable for benchmarking.
• Experience participating in code reviews to maintain high standards of code quality and maintainability.

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.

Skills

Python

Data pipelines

Data engineering

Data science

Code reviews

Job description

• Location: Remote (Work from Anywhere)

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. The 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. Candidates will contribute to benchmark‑driven evaluation projects focused on real‑world data engineering and data‑science workflows.

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 three years of experience as a data engineer, data scientist, or software engineer with a data focus.
• Strong proficiency in Python for data‑engineering and data‑science workflows.
• Demonstrable experience with data processing, analysis, and model‑related workflows.
• Ability to create clean, well‑documented, and reusable data workflows suitable for benchmarking.
• Experience participating in code reviews to maintain high standards of code quality and maintainability.

More About the Opportunity:

This role supports a global leader in the research accelerator space for frontier AI labs and a trusted partner for enterprises deploying advanced AI systems. The work contributes directly to evaluating and improving the performance of AI models on real‑world data tasks.

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.