Data Scientist / Machine Learning Engineer

Quick Facts

• Role: Data Scientist / Machine Learning Engineer

• Work: Full remote (Czech Republic) or hybrid (Prague/Ostrava)

• Focus: Machine learning, Generative AI/LLMs, semantic search, Knowledge Graphs

Description

You will analyze structured and unstructured data to uncover insights and build statistical and machine learning solutions. The role includes collecting, preparing, and validating data, optimizing models, and applying AI—especially Generative AI and LLM technologies—to real-world business problems. You’ll contribute to Knowledge Graph and graph analytics work while communicating results through clear visualizations.

Responsibilities

• Analyze structured and unstructured data to address business challenges

• Develop, evaluate, and optimize ML models and statistical solutions

• Collect, prepare, and validate data using Python and SQL

• Collaborate with data engineers, software developers, and stakeholders

• Explore and apply AI, Generative AI, and LLM technologies

• Work on semantic search, graph analytics, and Knowledge Graph solutions

• Build predictive models and present insights via visualizations

• Stay current with developments in AI and data science

Requirements

• Bachelor’s degree in a quantitative discipline

• 3+ years of professional experience in Data Science or Machine Learning

• Strong Python and SQL skills (R is a plus)

• Experience with statistical analysis, ML, and data preparation

• Hands-on work with structured and unstructured data

• Experience with TensorFlow or PyTorch

• Generative AI or LLM experience is an advantage

• Exposure to graph databases (Neo4j or Memgraph) and Knowledge Graphs is a big plus

• Fluent English

Benefits

• Work on innovative, AI-driven products with real business impact

• Exposure to Generative AI, LLMs, semantic search, and Knowledge Graphs

• International, collaborative environment with learning opportunities

• Flexible remote or hybrid work arrangements

• Competitive salary, attractive benefits, and continuous professional development