Projecting, developing, and implementing solutions based on artificial intelligence, machine learning, and large language models (LLM) in Python.
Integrating models with production systems, and monitoring and optimizing them in a cloud environment (Azure, Databricks).
Supporting organizational transformation by building processes, platforms, standards, and AI/ML solutions from the ground up.
Participating in research and development of new AI/ML technologies and democratizing smart automation (Power Platform, Azure).
Ensuring the continuity of models in the production environment using a CI/CD approach.
Creating technical documentation and reports on results.
Collaborating with Data Science, IT teams, and central units in the Czech Republic and the Netherlands.
Using LLM and Copilot tools in daily work.
Our Offer Is For You If:
You have at least 3 years of experience in the role of AI/ML Engineer, AI/LLM Engineer, or ML Ops Engineer.
You are fluent in Python (knowledge of Java is desirable).
You have worked with machine learning tools such as TensorFlow or PyTorch.
You are familiar with cloud environments (Azure, AWS) and the Lakehouse architecture.
You can solve technical problems and optimize code and deployment processes for models.
You work according to Agile methodologies and are comfortable in an international environment.
You know and use LLM and Copilot tools in your work.
Desirable:
Experience in the financial industry.
Knowledge of project management tools (e.g., JIRA, Azure DevOps).
Experience working in an international environment.
Do You See These Benefits And You Smile Widely:
You will work in a hybrid mode with flexible working hours.
Our engineers receive dedicated onboarding to navigate the Business Technology area.
Our cooperation is based on open-source technologies, Agile methodology, and DevOps culture. We will support your development through Technology Day 4 You and hackathons.
We will lower the prices of Samsung products for you.
If you train and care for yourself, you can join our sports section.
If you prefer to commute to the office by bike, we have excellent infrastructure for cyclists.