Cint
research technology (ResTech)
AI/MLEngineering
Neural analysis suggests this role is
optimal for mid candidates.
“AI/ML Engineering at Cint. Skills: Python, Machine Learning, AWS, Databricks. Build production ML systems. Maintain production ML systems”
What You'll Achieve.
Optimize KPIs
Industry & Context.
Problem-solving skills; Analytical skills
What They're Looking For.
Must Have
Excellent programming skills, Proficiency in Python, Knowledge of traditional machine learning tools, Knowledge of maths, probability, statistics and algorithms, Proven experience as an AI/ML Engineer, Outstanding problem-solving and analytical skills
Nice to Have
Knowledge of Java, Experience in fine-tuning LLMs, Knowledge of Databricks, Familiarity with cloud technologies, Experience with LoRA, Experience with distillation
What You'll Do.
Build production ML systems
Maintain production ML systems
Contribute to ML-based services
Optimize production performance
Own services end-to-end
Design production services
Build production services
Maintain production services
Translate business questions into ML
Contribute to team standards
Accelerate boilerplate
How You'll Work.
Team & Collaboration
Partner with product; Partner with data science; Work with PMs; Work with data scientists; Work with other engineers; Collaborate across borders; Learn from each other’s experiences
Communication Scope
Presenting conclusions; Shaping outcomes
Full Job 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! The Role We're hiring an AI/ML Engineer for our AI/ML team in Prague to work on the production ML and data science systems that power Cint's marketplace. These are data products that our research customers depend on every day, including: * Feasibility Prediction: given a set of survey requirements, how many people can we expect to complete the survey on our platform? * Dynamic Pricing: choose the optimal price for a survey to optimize KPIs. The role is broad in scope, with the chance to work across several established projects and to shape what ships next ## Qualifications What You'll Do: * 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 program
Applying for this AI/ML Engineering role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on SmartRecruiters
- SmartRecruiters often includes a video screening step — check camera and mic permissions.
- Link your GitHub or portfolio directly in the profile section for technical roles.
- Applications may be reviewed by AI scoring before reaching a recruiter — use keywords from the job description.
ANONYMOUS · UNFILTERED
What do employees actually say about Cint?
Real rants from real employees. Read before you apply.