Data Engineer / Data Science

About Company: Our client is a Palo Alto–based AI infrastructure and talent platform founded in 2018. It helps companies connect with remote software developers using AI-powered vetting and matching technology. Originally branded as the “Intelligent Talent Cloud,”enabled companies to “spin up their engineering dream team in the cloud” by sourcing and managing vetted global talent. In recent years, they have evolved to support AI infrastructure and AGI workflows, offering services in model training, fine-tuning, and deployment—powered by their internal AI platform, ALAN, and backed by a vast talent network. They reported $300 million in revenue and reached profitability. Their growth is driven by demand for annotated training data from AI labs, including major clients like OpenAI, Google, Anthropic, and Meta.

Job Description: Job Title:

Data Engineer / Data Science Location: Pan India Experience: 4+ yrs. Employment Type: Contract to hire Work Mode: Remote Notice Period: - Immediate joiners Role Overview We are looking for experienced Software Engineers (SWE Bench – Data Engineer / Data Science) to contribute to benchmark-driven evaluation projects focused on real-world data engineering and data science workflows. 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.

What does day-to-day life look like? 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. Create clean, well-documented, and reusable data workflows suitable for benchmarking. Participate in code reviews to ensure high standards of code quality and maintainability. Collaborate with researchers and engineers to design challenging, real-world data engineering and data science tasks for AI systems. 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. Demonstrable experience with data processing, analysis, and model-related workflows. Solid understanding of machine learning and data science fundamentals. Experience working with structured and unstructured data. Ability to understand, navigate, and modify complex, real-world codebases. Experience writing readable, reusable, maintainable, and well-documented code. Strong problem-solving skills, including experience with algorithmic or data-intensive problems. Excellent spoken and written English communication skills.