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Scalable Machine Learning Infrastructure Developer
1 week ago
Job Overview
MFT Energy A/S is seeking an experienced Machine Learning Engineer to join our Intraday Power Team. As a Machine Learning Engineer, you will play a critical role in designing and maintaining a robust machine learning setup encompassing over 100 models.
You will work closely with data scientists, platform engineers, quants, and traders to achieve these goals. The ideal candidate will have a strong background in machine learning, proficiency in Python, and experience with Docker for containerization.
Responsibilities
- Design and Implement Scalable ML Infrastructure: Develop a scalable machine learning infrastructure to support the growth of our model portfolio.
- Support and Optimize ML Models: Support and optimize a portfolio of 100+ ML models to ensure their accuracy and efficiency.
- Collaborate with Cross-Functional Teams: Work with cross-functional teams to integrate ML models into trading systems, enhancing the maturity and scalability of our ML setup.
Requirements
- Minimum of 2 Years of Relevant Experience: Minimum of 2 years of relevant experience.
- Quantitative Field Degree: MSc or Ph.D. in a quantitative field (e.g., Computer Science, Physics, Engineering, Business Intelligence, Economics, or similar).
