AI/ML Engineer

remote-job.net Job Summary: 💶 Salary: Not specified ⏰ Weekly Working Hours: Full-time 🔍 Recommended Experience: Senior 🎓 Recommended Education: Not specified 📋 Main Responsibilities: Development and maintenance of ML tools and services. Implementation and scaling of production services. Analysis and presentation of platform metrics. ✅ Key Requirements: Excellent proficiency in Python and ML methods. Experience with SQL and cloud technologies. Strong analytical and problem-solving skills. 🏭 Industry: ResTech About the Company Who We Are Cint is a pioneer in research technology (ResTech). Our clients use the Cint platform to ask questions and get answers from real people to develop business strategies, safely publish research findings, precisely measure the impact of digital advertising, and more. The Cint platform is built on a programmatic marketplace, the world’s largest of its kind, with nearly 300 million respondents in over 150 countries who have agreed to share their opinions, motivations, and behaviors. We fuel the world’s curiosity! Additionally, we take pride in being recognized by Newsweek as one of the 'Global Top 100 Most Loved Workplaces®.' Cint Group AB (publ) is listed on Nasdaq Stockholm. Responsibilities Development and maintenance of ML production systems. End-to-end ownership of services: From PoC to cloud deployment. Collaboration with product, data science, and engineering teams. Analysis of platform data in Databricks, AWS, and other tools. Contribution to the development of ML standards and documentation. Use of AI tools like Claude Code to accelerate the modeling process. Requirements Excellent programming skills in Python, knowledge of Java is a plus. Experience in traditional ML techniques (e.g., SVM, Gradient Boosting). Knowledge of LLMs and their architecture, ideally with fine-tuning experience. Proficient in SQL, experience with Databricks is a plus. Familiarity with cloud technologies like AWS. Proven experience as an AI/ML engineer. Strong problem-solving and analytical skills. Knowledge of mathematics, probability, statistics, and algorithms. Motivation to continuously learn and apply knowledge. Benefits Work primarily in Prague; remote work possible from Spain or the United Kingdom. State-of-the-art AI engineering environment. High autonomy in work style. Global reach: Work with data products used worldwide. Modern tech stack: Python, FastAPI, Docker, CI/CD, and K8s on AWS. Equipped workspace: Laptop, accessories, and height-adjustable desk in the Prague office. 25 vacation days, unlimited sick leave. Contributions to retirement savings and meal vouchers.