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Machine Learning Engineer

Second Foundation · Prague, Prague, Czechia

Feb 26
Mid (2-5 yrs) Full-time Czechia
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About the role

Develop Python-based tooling and infrastructure to support analytical and trading teams. Deploy, monitor, and optimize machine learning models in production while creating custom dashboards for data visualization.

What they look for

Python NumPy Pandas CI/CD Kubernetes Machine Learning Operations Data Analysis Performance Optimization Data Processing Model Deployment Dashboarding Mathematical Modeling

Requirements

Candidates should have a strong mathematical or technical background with proficiency in Python and data libraries like NumPy and pandas. Experience with CI/CD, Kubernetes, or ML toolkits is highly desired.

Benefits

Competitive Salary Package Yearly Bonus 25 Days Of Paid Holiday Flexible Working Hours Home-office Options High-end Workstation Sponsored Lunch Free Snacks Multisport Card

Full description

We are a unique combination of a technology company and a trading house. Our mission is to turn data into market-beating trading strategies by using sophisticated mathematical models while helping to balance the power grid.  

What would you work on?

  • Building industry-leading tooling in Python that supports analytical and trading teams.
  • Setting up data processing and improving its infrastructure.
  • Enabling new machine learning approaches and simplifying ML operations.
  • Deploying new models in production, monitoring their reliability and continuously improving their performance.
  • Presenting complex data in an easily understandable way through custom dashboards.
  • Delivering your code quickly to production with direct feedback from internal stakeholders.

What makes you a great candidate?

  • Mathematical or technical background.
  • A curious mind, a passion for problem-solving, and commitment to working collaboratively.
  • Strong ability to discuss, communicate and document technical decisions.
  • Affinity for delivering clean, concise, and maintainable code.
  • Ability to grasp new data and present it clearly and effectively.
  • Experience with Python and its libraries for data analysis, such as NumPy, and pandas.
  • Experience with any of: CI/CD (K8s), ML toolkits, performance optimization.

What do we offer?

  • Brand new office in the city center – Masaryčka.  
  • Competitive salary package with the possibility of a yearly bonus.  
  • 25 days of paid holiday.  
  • Flexible working hours and home-office options.  
  • High-end workstation.  
  • Sponsored lunch in the office. Every workday.  
  • Free snacks at the office.  
  • Multisport Card – fully paid by the company.  
  • Colleagues who are absolute experts in what they do.