O stanowisku
Hey there!
We're Fortuna Entertainment Group, and we’re excited to share why we’re a team worth joining.
Founded in 1990, FEG is a top player in the betting and gaming industry. We proudly serve millions of customers across five European countries – Czech Republic, Slovakia, Poland, Romania, and Croatia – with our Business Intelligence operations based in India.

Czy do nas pasujesz?
A degree in Computer Science / Information Technology
Fluent communication skills in English both written and verbal
Team player who can share experience with the team and grow them technically
High quantitative and cognitive ability to solve complex problem and think with a vision
At least 7 years of experience of working in data roles – Data Analyst, Business Analyst and Data Scientist
4 + years of experience in programming and data science, MLOps and automation of models
Demonstrated experience in leading teams, mentoring engineers/data scientists, and driving project delivery.
Great understanding of all machine learning techniques and its application on business problems
Proven experience with Generative AI and LLMs (prompt engineering, RAG, agent-based systems).
Experience with ML on MS Azure stack in combination with Python, SQL
Strong business understanding. Worked in developing analytics solutions in 2-3 domains
Data Driven
Technical Thinking
Problem-solving
Communication skills
Critical Thinking
Task Management
Proactive
We are the biggest omni-channel betting and gaming operator in Central and Eastern Europe, B2C High-tech Entertainment company
Hybrid Working Arrangements (work from home)
Czym się zajmiesz
Manage and lead a team of data scientists and ML engineers, including task allocation, performance management, and career development planning.
Own the end-to-end design, development, and delivery of client-facing AI/ML features, collaborating closely with product managers and solution architects to translate business requirements into scalable solutions.
Design, develop, and deploy ML and Generative AI solutions on the Azure AI/ML ecosystem, including RAG-based applications and LLM-powered workflows.
Build and optimize AI agents and prompt strategies for tasks such as recommendation, classification, summarization, and decision support.
Collaborate with data engineering, MLOps, and platform teams to deploy, monitor, and operate models and AI systems in production.
Mentor and guide junior data scientists, providing technical direction, code reviews, and best-practice coaching.
Drive continuous improvement in model performance, evaluation, and responsible AI practices, contributing to architectural and design reviews.
Benefity i zalety
Brzmi jak oferta dla Ciebie?
Do negocjacji · FORTUNA
Na stronie firmy FORTUNA · ~2 minuty