onsite
Machine Learning Engineer - alfatraining Bildungszentrum GmbH
ML Engineer
Develop and deploy machine learning models, leveraging Python and modern ML frameworks to solve business problems and integrate solutions into cloud environments.
About the role
Key Responsibilities
- Design, implement, and train machine learning models using Python and frameworks such as TensorFlow, PyTorch, and Scikit-learn.
- Prepare and preprocess large datasets, ensuring data quality and feature engineering for optimal model performance.
- Deploy models to production environments, utilizing cloud services like AWS for scalability and reliability.
- Collaborate with cross‑functional teams to integrate ML solutions into existing products and services.
- Monitor model performance, conduct A/B testing, and iterate to improve accuracy and efficiency.
Requirements
- Strong proficiency in Python and experience with major ML libraries (TensorFlow, PyTorch, Scikit-learn).
- Hands‑on experience building, training, and deploying models in a cloud environment (AWS preferred).
- Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.
- Ability to translate business problems into scalable ML solutions.
- Excellent problem‑solving skills and ability to work independently and within a team.
Skills
pythontensorflowpytorchaws