AI/ML Engineer

🕒 May 23

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Cint

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2004

🤝 B2B

☁️ SaaS

💰 Venture Round on 2016-01

Market Research • B2B • SaaS

Cint is a leading global technology platform that provides a comprehensive marketplace for market research. The company operates the world's largest programmatic research marketplace, known as the Cint Exchange, which connects surveys with millions of respondents across 130 countries. Cint offers services such as media measurement and audience monetization, leveraging powerful technology to provide insights-driven companies with actionable data. With a focus on quality and trust, Cint uses advanced AI and machine learning tools to ensure the integrity and accuracy of the data collected. It serves a wide range of industries by offering tools for measuring the impact of advertising, conducting brand lift studies, and optimizing marketing strategies in real time. Cint is trusted by thousands of companies for its innovative approach to connecting businesses with the right survey participants efficiently and effectively.

📋 Description

• Build and maintain production ML systems: Contribute to existing ML-based services, from training pipelines to production performance optimizations. • Own services end-to-end: Design, build and maintain production services - from a PoC all the way to a functional cloud deployment. • Partner with product and data science: Work with PMs, data scientists, and other engineers to translate research and business questions into shippable ML. • Understand the platform: To facilitate the above, you’ll work in Databricks, AWS and other tooling to be able to analyze, understand and present the data, metrics and insights needed to help make the best decisions for the platform. • Contribute to the team's standards: Review not just code but the ML side of the work as well - evaluation standards, model documentation etc. • Leverage AI tooling: Use Claude Code and agentic programming tools to accelerate the boilerplate so you can focus on the modelling decisions that actually matter.

🎯 Requirements

• Excellent programming skills and proficiency in Python. • Knowledge of Java is a plus. • Knowledge of traditional machine learning tools and techniques (e. g. support vector machines, gradient boosting) • An understanding of LLMs and their architecture, ideally with experience in fine-tuning, e.g. LoRA, distillation is a plus • Proficient in SQL, knowledge of Databricks is a plus • Familiarity with cloud technologies, e.g. AWS • Proven experience as an AI/ML Engineer • Outstanding problem-solving and analytical skills • Knowledge of maths, probability, statistics and algorithms

🏖️ Benefits

• Office in Prague (Pankrác) but full remote possible • 25 days of vacation • unlimited sick days • Pension fund contribution • Edenred meal vouchers