# AI/ML Engineer (Synthetic Data) Remote from[Czechia](https://jobicy.com/job-region/czechia.md)Annual salary Undisclosed Salary information is not provided for this position. Check our [Salary Directory](https://jobicy.com/salaries.md) to estimate the average compensation for similar roles.Department [Software Engineering](https://jobicy.com/categories/engineering.md) Employment type Full Time, Job posted6 Jul 2026Apply before6 Aug 2026Views / Applies 870 / 58 [About company](https://jobicy.com/company/cint.md) * Share About [Cint](https://jobicy.com/company/cint.md) The World's Largest Global Research Marketplace connecting your research questions to the right people. [Market Research](https://jobicy.com/company-category/market-research.md) * 1998 Actively Hiring Verified job posting This job post has been [manually reviewed](https://jobicy.com/tools/help-center/employee/how-does-jobicy-verify-the-legitimacy-of-remote-job-listings.md) for authenticity and compliance. ### AI Summary Cint is hiring AI/ML Engineers for a new Synthetic Data Platform team, focusing on building production models for survey augmentation, audience profiling, and agentic insights. The role involves designing, training, and deploying models using LLMs and traditional ML, working closely with data science and product teams. Candidates should have strong Python skills, experience with ML and LLMs, and familiarity with cloud technologies. The position offers high autonomy and the chance to work on cutting-edge AI tooling. ### Role DNA Job Complexity Easy Hard Pace & Pressure Relaxed Fast-paced Autonomy Level Guided Full Ownership Communication Load Independent Highly Collaborative AI Insight The role requires advanced skills in AI/ML, including LLM fine-tuning and production deployment, which is challenging, but the company provides strong support and modern tooling, balancing difficulty. ### Salary Analysis Median Highly Competitive $175,000US Market $130k – 220k 0 $242k AI Insight The offered salary is not specified. Based on the US market for AI/ML Engineers with synthetic data focus, the estimated median is $175,000. This is competitive for senior roles with deep technical expertise. ### Core Skills Required [Python](https://jobicy.com/jobs?search_keywords=Python.md) [Machine Learning](https://jobicy.com/jobs?search_keywords=Machine+Learning.md) [LLM Fine-Tuning](https://jobicy.com/jobs?search_keywords=LLM+FineTuning.md) [Synthetic Data](https://jobicy.com/jobs?search_keywords=Synthetic+Data.md) [AWS](https://jobicy.com/jobs?search_keywords=AWS.md) [SQL](https://jobicy.com/jobs?search_keywords=SQL.md) [Deep Learning](https://jobicy.com/jobs?search_keywords=Deep+Learning.md) [Statistics](https://jobicy.com/jobs?search_keywords=Statistics.md) [FastAPI](https://jobicy.com/jobs?search_keywords=FastAPI.md) [Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md) ### Cover Letter Sample Dear Hiring Manager, I am excited to apply for the AI/ML Engineer (Synthetic Data) position at Cint. With a strong background in machine learning and deep learning, particularly in building production models for data augmentation and predictive profiling, I am eager to contribute to your greenfield project. My experience includes fine-tuning large language models and deploying scalable ML pipelines on cloud platforms like AWS. I am particularly drawn to the high autonomy and AI-native engineering culture at Cint, and I thrive in fast-paced, collaborative environments. I look forward to the opportunity to discuss how my skills align with your team's goals. Sincerely, [Your Name] Copy ### Sample Interview Questions Can you describe your experience with fine-tuning large language models? What techniques have you used (e.g., LoRA, distillation)?I have fine-tuned LLMs using LoRA for efficient adaptation to domain-specific tasks. For example, I fine-tuned a GPT-2 model on customer support data to improve response accuracy, achieving a 15% increase in relevant answers. I also used distillation to create smaller, faster models for deployment.How would you approach building a model to predict respondent characteristics from limited signals?I would start by exploring the data to understand signal patterns and missingness. Then, I'd use feature engineering to extract meaningful features, and try ensemble methods like gradient boosting or a neural network with embeddings. Cross-validation and ablation studies would help select the best model.Explain a time you owned a project end-to-end from experiment to production.At my previous job, I led the development of a real-time recommendation system. I designed the model architecture, trained it on historical data, deployed it using Docker and Kubernetes on AWS, and set up monitoring for performance. The system handled 10k requests per second with 95% accuracy.How do you ensure the integrity of statistical testing in your experiments?I use A/B testing with proper randomization and sample size calculation. I also apply techniques like bootstrapping for confidence intervals and control for multiple comparisons using Bonferroni correction. Regular peer reviews of experimental design help catch errors.Describe your experience with cloud technologies like AWS and Databricks.I have extensive experience with AWS, including EC2, S3, Lambda, and SageMaker for model training and deployment. I also used Databricks for large-scale data processing and collaborative notebook development, leveraging Spark for ETL pipelines. ## Company Description 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! ## Job Description 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. ## Qualifications What You’ll Do: * Build production augmentation and profile models: Design, train, evaluate, and deploy models against real survey data, owning the full path from experiment to production. * Innovate on solutions: We aim to build the best simulation of survey responses in the industry. You’ll design the experiments, baselines, and models to get us there. * Use the latest technology: Build on the best open-weights LLMs with fine-tuning, build new ones from scratch with custom architectures or use third party models through an API; whatever gets us the best result. * Partner with Data Science: Work with the data science team to ensure integrity of our statistical testing and experiment framework. * Leverage AI tooling: Use Claude Code and agentic programming tools where appropriate. What You Bring: * Excellent programming skills and be proficient in Python. Knowledge of Java is a plus. * Knowledge of traditional machine learning tools and techniques (support vector machines, gradient boosting) * An understanding of LLMs and their architecture, ideally with experience in fine-tuning, e.g. LoRA, distillation * Proficient in SQL, knowledge of Databricks is a plus * Familiarity with cloud technologies, e.g. AWS * Outstanding problem-solving and analytical skills * Knowledge of maths, probability, statistics and algorithms * You like to push the limits of your knowledge every day * You own your conclusions and are comfortable presenting them and shaping outcomes ## Additional Information Working at Cint * Prague-First, Europe-Friendly: Our preferred base is Prague, alongside our existing AI/ML team. Remote work from Spain or the UK is also possible, as these are the markets where we have entities. * AI-Native Engineering: We’re rolling out Claude Code and modern agentic tooling across engineering. You’ll use it daily, not as a novelty, but as a force multiplier for the complex problems that matter. * High Autonomy: We trust our engineers to make sound decisions and own their work end-to-end. * Global Impact: Your work powers a marketplace used by millions of people worldwide. * Modern Tech Stack: We usually build our services using the latest Python tooling and FastAPI, dockerize them and deploy with CI/CD to K8s in AWS. We keep the code on GitHub. * Company Hardware: Cint provides a laptop (Win/Linux/Mac) and accessories, and a height adjustable desk at the Pankrác office * Benefits Include: Office in Prague (Pankrác) but full remote possible * 25 days of vacation, unlimited sick days * Pension fund contribution, Edenred meal vouchers Our Values Collaboration is our superpower * We uncover rich perspectives across the world * Success happens together * We deliver across borders. Innovation is in our blood * We’re pioneers in our industry * Our curiosity is insatiable * We bring the best ideas to life. We do what we say * We’re accountable for our work and actions * Excellence comes as standard * We’re open, honest and kind, always. We are caring * We learn from each other’s experiences * Stop and listen; every opinion matters * We embrace diversity, equity and inclusion. More About Cint We’re proud to be recognised in Newsweek’s 2025 Global Top 100 Most Loved Workplaces®, reflecting our commitment to a culture of trust, respect, and employee growth. In June 2021, Cint acquired Berlin-based GapFish – the world’s largest ISO certified online panel community in the DACH region – and in January 2022, completed the acquisition of US-based Lucid – a programmatic research technology platform that provides access to first-party survey data in over 110 countries. Cint Group AB (publ), listed on Nasdaq Stockholm, this growth has made Cint a strong global platform with teams across its many global offices, including Stockholm, London, New York, New Orleans, Singapore, Tokyo and Sydney. (www.cint.com) Additionally, in a world of AI, we want our candidates to understand our approach to the use of AI during the interview and hiring process, so we’d appreciate you reading our [AI usage guide](http://c.smartrecruiters.com/sr-company-attachments-prod-aws-dc5/655c6b17c74f682dfe4dd060/acaefd72-69c2-4bf5-8e9d-d848d701336b?r=s3-eu-central-1). Show more [Apply now >](https://jobicy.com/jobs/145289-ai-ml-engineer-synthetic-data.md) > Annual salary information is not provided for this position. Explore salary ranges for similar roles in our [Salary Directory ›](https://jobicy.com/salaries.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. 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