Job offer

Data Scientist / ML Engineer – Interested in Knowledge Graphs? - Full remote

What You'll Do
Analyze structured and unstructured data to uncover insights and solve complex business challenges.
Develop, evaluate, and optimize machine learning models and statistical solutions.
Collect, prepare, and validate data using Python, SQL, and modern data science tools.
Collaborate with data engineers, software developers, and business stakeholders to deliver data-driven solutions.
Explore and apply AI, Generative AI, and LLM technologies to solve real-world problems.
Contribute to projects involving semantic search, graph analytics, and Knowledge Graph solutions, with the opportunity to learn and grow in this area.
Build predictive models and communicate insights through clear visualizations and presentations.
Stay up to date with the latest developments in AI, machine learning, and data science.

What You'll Bring
Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or another quantitative discipline.
3+ years of professional experience in Data Science or Machine Learning
Strong programming skills in Python and SQL (R is a plus).
Experience with statistical analysis, machine learning, and data preparation.
Hands-on experience working with structured and unstructured data.
Familiarity with machine learning frameworks such as TensorFlow or PyTorch.
Experience with Generative AI or Large Language Models is an advantage.
Exposure to graph databases, NEO4J or MEMGRAPH, graph analytics, Knowledge Graphs is a big plus. We're looking for someone excited to learn and work with these technologies.
Fluent English.

What We Offer
Work on innovative AI and data-driven products with real business impact.
Exposure to modern technologies, including Generative AI, LLMs, semantic search, and Knowledge Graphs.
A collaborative, international environment with opportunities to learn and grow.
Flexible working arrangements, including remote or hybrid work.
Competitive salary, attractive benefits, and continuous professional development.

You can work full remote (from whole Czech republic) or hybrid (Offices in Prague and Ostrava).

Key words: Data engineering, Data science, ML, AI, LLM, NEO4J, MEMGRAPH, Python developer, TensorFlow, PyTorch, DWH developer, DataOps

Data Scientist / ML Engineer – Interested in Knowledge Graphs? - Full remote

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