AI/ML Engineer (Synthetic Data)

AI/ML Engineer (Synthetic Data)

Cint is a pioneer in research technology (ResTech), operating the world's largest programmatic marketplace connecting businesses with real people for insights. We are seeking several AI/ML Engineers to join our Synthetic Data Platform team in Prague. This is a greenfield project, integral to Cint’s 2026 product strategy, focused on building cutting-edge products that simulate and augment survey data.

About the Role

As an AI/ML Engineer on the Synthetic Data Platform team, you will be instrumental in developing novel solutions for:

• Survey Augmentation: Filling in missing responses within surveys.
• Audience Profiling: Predicting respondent characteristics based on available signals.
• Agentic Insights: Answering client research questions using insights derived from existing data.

You will work closely with engineers on augmentation and profile modeling, the data science team, and a product manager. Customer pilots are already underway, and your work will directly influence the product roadmap based on pilot feedback.

Key Responsibilities

• Build Production Models: Design, train, evaluate, and deploy augmentation and profile models using real survey data, managing the entire lifecycle from experiment to production.
• Innovate Solutions: Develop and implement experiments, baselines, and models to create industry-leading simulations of survey responses.
• Utilize Advanced AI: Leverage and fine-tune open-weight Large Language Models (LLMs), build custom architectures, or integrate third-party models via API to achieve optimal results.
• Collaborate with Data Science: Partner with the data science team to ensure the integrity of statistical testing and experimental frameworks.
• Apply AI Tooling: Employ tools like Claude Code and agentic programming where beneficial.

Requirements

• Proficiency in Python programming.
• Knowledge of traditional machine learning tools and techniques (e.g., support vector machines, gradient boosting).
• Understanding of LLMs and their architecture, with practical experience in fine-tuning methods (e.g., LoRA, distillation).
• Proficiency in SQL; experience with Databricks is a plus.
• Familiarity with cloud technologies, such as AWS.
• Strong problem-solving and analytical skills.
• Solid grasp of mathematics, probability, statistics, and algorithms.
• A proactive approach to expanding knowledge and pushing technical boundaries.
• Ability to own conclusions and effectively present them to shape outcomes.
• Knowledge of Java is considered a plus.

What We Offer

• Location Flexibility: Primarily based in Prague, Czechia, with potential for full remote work from Spain or the UK (where Cint has legal entities).
• AI-Native Environment: Daily use of modern AI tooling like Claude Code and agentic programming as force multipliers.
• High Autonomy: Trust and empowerment to make sound decisions and own projects end-to-end.
• Global Impact: Contribute to a platform used by millions worldwide.
• Modern Tech Stack: Experience with Python, FastAPI, Docker, CI/CD, Kubernetes, AWS, and GitHub.
• Company Hardware: Provision of a laptop (Win/Linux/Mac), accessories, and an adjustable desk (for Prague office).
• Comprehensive Benefits:
  • 25 days of vacation and unlimited sick days.
  • Pension fund contribution.
  • Edenred meal vouchers.
• Recognition: Proud to be recognized in Newsweek’s 2025 Global Top 100 Most Loved Workplaces®.

Join Cint and contribute to shaping the future of research technology.