ironquill.tech/board

$ cat jobs/ai-ml-engineer-synthetic-data-be-cint-8bf1e12672ee.json

AI/ML Engineer (Synthetic Data) BE

Cint·Worldwide·Remote·mid
data science
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Who We Are Cint is a pioneer in research technology (ResTech). Our customers use the Cint platform to post questions and get answers from real people to build business strategies, confidently publish research, accurately measure the impact of digital advertising, and more. The Cint platform is built on a programmatic marketplace, which is the world’s largest, with nearly 300 million respondents in over 150 countries who consent to sharing their opinions, motivations, and behaviours. We are feeding the world’s curiosity! The Role We're hiring several AI/ML Engineers for the Synthetic Data Platform team. This is a greenfield project, an exciting new market and a key part of Cint’s 2026 product strategy. You will build models with a deep understanding of how respondents answer surveys. These will underpin new products which will be best-in-class for the industry, including: Survey Augmentation: filling missing responses to surveys Audience Profiling: predicting respondent characteristics from signals we have Agentic Insights: answering a client’s research questions using insights from existing data The Team You'll join our AI/ML team in Prague, working alongside engineers on augmentation and profile modelling, the data science team, and a product manager who owns the Synthetic Data roadmap. Customer pilots are already running, and feedback from those pilots shapes the roadmap. What You'll Do: Connect Synthetic Data to the Cint Exchange: Design and build the services and APIs that plug the platform into Cint's marketplace, so synthetic data products reach the buyers and surveys already running there. Build integrations with survey hosting platforms: Own the integrations with third-party survey platforms that let us ingest questionnaires and response data into the Synthetic Data platform, from first API call to a production connector our customers can rely on. Own the ingestion path end to end: Build the pipelines that normalise wildly different questionnaire and respons

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