AI/ML Engineering

Remote from: Czechia
Annual salary: Undisclosed
Salary information is not provided for this position. Check our Salary Directory to estimate the average compensation for similar roles.
Department: Data Science & Analytics
Employment type: Full Time,
Job posted: 24 May 2026
Apply before: 24 Jun 2026
Experience level: Senior
Views / Applies: 17 / 4

About company

About Cint

The World's Largest Global Research Marketplace connecting your research questions to the right people.

Market Research
1998

Actively Hiring

AI Summary

Cint is hiring an AI/ML Engineer to build and maintain production ML systems for its global research technology marketplace. The role involves developing services like feasibility prediction and dynamic pricing, owning end-to-end cloud deployments, and collaborating with product and data science teams. The position offers high autonomy, AI-native tooling, and a modern tech stack including Python, AWS, and K8s. Based in Prague with remote options, the role requires strong Python skills, ML knowledge, and experience with LLMs.

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 expertise in both traditional ML and LLMs, production system ownership, and collaboration across teams, making it challenging but not entry-level.

Salary Analysis

AI Insight Salary not provided; estimated median of $145,000 based on US market for AI/ML Engineer roles. This is competitive, reflecting the seniority and technical demands.

Key Skills

Python Machine Learning AWS LLMs SQL Databricks Kubernetes FastAPI CI/CD Data Science

Cover Letter Sample

Dear Hiring Team,

I am excited to apply for the AI/ML Engineer role at Cint. With strong proficiency in Python and hands-on experience building production ML systems on AWS, I am well-prepared to contribute to your marketplace's feasibility prediction and dynamic pricing models. My background includes fine-tuning LLMs and deploying scalable services using Docker and Kubernetes, aligning with your modern tech stack.

I thrive in high-autonomy environments and enjoy owning services end-to-end, from PoC to cloud deployment. I am also experienced in collaborating with data scientists and product managers to translate business questions into impactful ML solutions.

I am particularly drawn to Cint's AI-native engineering culture and the opportunity to work with Claude Code to accelerate development. I look forward to bringing my analytical skills and passion for machine learning to your team.

Sincerely,
[Your Name]

Possible Interview Questions

Describe your experience building and maintaining a production ML system end-to-end. What challenges did you face?

I built a real-time pricing model using gradient boosting on AWS SageMaker, deploying with Docker and K8s. Challenges included latency optimization and handling data drift, which I addressed with model retraining pipelines and monitoring.

How would you approach fine-tuning an LLM for a specific domain task?

I would start by collecting domain-specific data, then use techniques like LoRA for efficient fine-tuning, evaluating on a held-out set to avoid overfitting. I'd also consider distillation if deployment size is a concern.

Explain a time you had to collaborate with product managers and data scientists to ship an ML feature.

I worked with PMs to define success metrics for a recommendation system, then partnered with data scientists to prototype models. I owned the engineering side, ensuring the service met latency and accuracy requirements before production launch.

How do you ensure the quality and reliability of ML models in production?

I implement automated testing for data validation, model evaluation, and A/B testing. I also set up monitoring for performance metrics and data drift, with alerting for anomalies. Documentation and version control are key.

What is your experience with Databricks and how would you use it for ML workflows?

I've used Databricks for data preprocessing, feature engineering, and model training with Spark. It's great for scaling compute and collaboration. I'd leverage its MLflow integration for experiment tracking and model registry.

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 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 programming tools to accelerate the boilerplate so you can focus on the modelling decisions that actually matter.

What You Bring:

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
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

#LI-JM1
#LI-Remote

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.

Apply now >