Save Job
Posted 1y ago

Machine Learning Engineer

@ Second Foundation
Prague, Prague, Czech Republic
HybridFull Time
Responsibilities:building tooling, processing data, deploying models
Requirements Summary:Experience with Python, NumPy, pandas, CI/CD (K8s), production model deployment, and ML operations; mathematical/technical background and strong communication skills.
Technical Tools Mentioned:Python, NumPy, pandas, CI/CD, K8s
Save
Mark Applied
Hide Job
Report & Hide
Job 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.