onsite
Bachelor of Science in Machine Learning & CFD - Enrichment Technology Company Ltd Niederlassung Deutschland
ML Engineer
Bachelor-level researcher focused on applying machine learning techniques to computational fluid dynamics problems, leveraging Python and advanced data analysis to develop predictive models and optimize simulation workflows.
About the role
Key Responsibilities
- Develop and validate machine learning models to predict fluid flow characteristics in complex geometries.
- Integrate ML algorithms with CFD solvers to accelerate simulation runtimes.
- Analyze large simulation datasets, extracting insights and improving model accuracy.
- Collaborate with cross‑functional teams to translate research findings into actionable engineering solutions.
- Document methodologies, results, and best practices for internal knowledge sharing.
Requirements
- Enrolled in or recently graduated with a Bachelor’s degree in Mechanical Engineering, Applied Mathematics, or a related field.
- Strong programming skills in Python and experience with scientific libraries (NumPy, SciPy, Pandas).
- Familiarity with CFD software (e.g., ANSYS Fluent, OpenFOAM) and basic numerical methods.
- Solid understanding of machine learning concepts and experience with libraries such as scikit‑learn or TensorFlow.
- Excellent analytical, problem‑solving, and communication skills.
Skills
machine learningpythondata analysis