Machine Learning Engineer in Intraday power team
at MFT Energy
8000 Aarhus, Region Midtjylland, Denmark -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 07 Nov, 2024 | Not Specified | 09 Aug, 2024 | 2 year(s) or above | Containerization,Version Control,Business Intelligence,Cloud Services,Aws,Git,Computer Science,Docker,Python,Analytical Skills,Database Tools,Economics,Physics,Azure | No | No |
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Description:
JOIN THE TEAM AS MFT ENERGY’S NEW MACHINE LEARNING ENGINEER IN INTRADAY POWER TEAM
In MFT Energy, we trade energy to make markets efficient and to facilitate the green transition. We are looking for a Machine Learning Engineer to join our ambitious Intraday power team with experienced colleagues, who strive to be the best every day.
YOUR CORE SKILLS
- Proficiency in Python.
- Hands-on experience with Docker for containerization.
- Experience with public cloud services (Azure, AWS, GCP).
- Experience with Git for version control.
- Knowledge of CI/CD pipelines.
- Familiarity with Bash and Linux environments.
- Strong analytical skills and an eye for detail.
BENEFICIAL SKILLS
- Proficiency in core ML frameworks/tools is a plus: MLFlow, Scikit-Learn, TensorFlow, PyTorch.
- Strong SQL skills or similar database tools.
- Familiarity with workflow orchestration tools (e.g., Airflow, Prefect).
YOUR QUALIFICATIONS
- Minimum of 2 years of relevant experience.
- MSc or Ph.D. in a quantitative field (e.g., Computer Science, Physics, Engineering, Business Intelligence, Economics, or similar).
MAKE THE MOST OF YOUR TALENT! JOIN US!
If you think there is a match between our values and your aspirations, we will be looking forward to receiving your application with a short cover letter and CV. For questions, please contact career@mft-energy.com.
Start date: As soon as possible.
We will be screening and interviewing candidates on an ongoing basis
Responsibilities:
- Design, implement, and maintain a scalable ML infrastructure.
- Support, manage and optimize a portfolio of 100+ ML models.
- Work with cross-functional teams to integrate ML models into trading systems.
- Enhance the maturity and scalability of our ML setup.
REQUIREMENT SUMMARY
Min:2.0Max:7.0 year(s)
Information Technology/IT
IT Software - Application Programming / Maintenance
Software Engineering
MSc
Computer Science, Business, Economics, Engineering
Proficient
1
8000 Aarhus, Denmark