JOIN A WORLD OF ENERGY AS MFT ENERGY’S NEW STUDENT MACHINE LEARNING ENGINEER

At MFT Energy, we are at the forefront of energy trading, driving market efficiency, and facilitating the green transition. We are seeking a talented student machine learning engineer to join our ambitious Intraday team trading European power. Collaborate with experienced professionals, who are dedicated to excellence every day.

YOUR QUALIFICATIONS AND PERSONAL SKILLS

• Studying: Computer Science, Science, Economics, Engineering, Finance, or similar.
• A general interest in technology and systems.
• Experience with Python and standard libraries such as Pandas, NumPy, etc.
• Familiarity with Linux environments and containerization tools such as Docker.
• Experience with common software technologies such as Git, SQL, Azure, and general observability tools is considered a plus.
• A proactive approach and an eye for detail.
• The ability to work independently and structure your workload.
• Fluent in English, both spoken and written, as our company language is English.
  Above all, we cherish passion and creativity. If yo have made hobby projects, feel free to share them.

ABOUT THE ROLE

As a Student Machine Learning Engineer, you will play a pivotal role in our dynamic Intraday team. You will work alongside highly skilled quantitative analysts, machine-learning experts, execution-algo developers, system developers, and traders.
Your work will directly influence our critical frameworks, positioning you at the heart of our operations. You will be instrumental in ensuring that the data flows continuously, the frameworks are robust, and general systems are always running. Over time, your responsibilities will grow as we believe in responsibility being a key driver for your success.

YOUR KEY RESPONSIBILITIES

• Maintain and extend machine learning frameworks.
• Acquire and maintain data from external sources.