Machine Learning Engineer Position in Power Trading and Analytics
6 days ago
About Us
MFT Energy A/S is a leading player in the power and gas trading industry, specializing in making markets efficient and facilitating the green transition.
We are a fast-growing company on a mission to empower entrepreneurs to become the best. Our team consists of experienced professionals who strive for excellence every day.
Job Description
The role of Machine Learning Engineer is pivotal in designing and maintaining a robust machine learning setup encompassing over 100 models. As part of our Intraday Power Team, you will work closely with data scientists, platform engineers, quants, and traders to achieve these goals.
Your Key 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.
Your Core Skills
- Proficiency in Python: Proficiency in Python programming language.
- Docker Experience: Hands-on experience with Docker for containerization.
- Cloud Services Experience: Experience with public cloud services (Azure, AWS, GCP).
- Git and CI/CD Pipelines: Experience with Git for version control and knowledge of CI/CD pipelines.
- Familiarity with Bash and Linux Environments: Familiarity with Bash and Linux environments.
Beneficial Skills
- ML Frameworks and Tools: Proficiency in core ML frameworks/tools such as MLFlow, Scikit-Learn, TensorFlow, PyTorch.
- Strong SQL Skills: Strong SQL skills or similar database tools.
- Workflow Orchestration Tools: Familiarity with workflow orchestration tools (e.g., Airflow, Prefect).
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).
Benefits
- Competitive Salary: Competitive salary and benefits package.
- Professional Growth Opportunities: Opportunities for professional growth and development.
- Collaborative Work Environment: Collaborative work environment with great colleagues.
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