A talented Machine Learning Engineer is being invited to join the dynamic team at the financial technology company. The innovative platform delivers cutting-edge solutions for financial institutions, seamlessly connecting data, knowledge, and algorithms. With the power of generative AI, processes are automated and advanced analytics are performed, empowering effective decision-making and spreading insights throughout the organization. Join in shaping the future of finance.

Role Overview:

• Develop a state-of-the-art data science and ML runtime stack in a multi-cloud environment.
• Manage the infrastructure and pipelines needed to bring models and code into production.
• Demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.
• Deploy algorithms based on statistical modelling procedures and build and maintain scalable machine learning solutions in production.
• Research and implement best practices to improve the existing machine learning infrastructure.
• Collaborate with data engineers, application programmers and data scientists.

Desired Skills:

• Strong hands-on computer programming proficiency is a must. Expert understanding of Python and Pythonic programming paradigms.
• Experience scaling machine learning on data and compute grids.
• Knowledge of MLOps, Git, Kubernetes Docker, CI/CD, Linux, cloud computing and Agile processes.
• Self-starter with excellent communication/time management skills.
• Qualification in STEM fields such as computer science, mathematics, electrical engineering, statistics.
• Experience with MLflow and Apache Ray is an advantage.
• Experience in training and tuning large language models is an advantage.
• Proficient in both written and spoken English language.
• Self-motivated and eager to learn.

Why to join?

🙌 Work closely with senior leaders who have served Fortune 100 CEOs globally. Your opinions are valued.

🤝 Co-founders are approachable and involved in daily operations.

💪 Build skills and connections with top-tier clients, solving mission-critical problems.

📚 Enjoy unique learning opportunities with formal training and informal knowledge-sharing.

🏙 Prague 1 office, located in a stunning space, offers a breathtaking rooftop view.

🎁 Celebrate birthdays, enjoy lunches, play ping-pong, and have beer after work, while maintaining a 👨‍👩‍👧‍👦 hybrid work model. Join us for free coffee, tea, and social events.