onsite
Machine Learning Engineer - Bizerba SE & Co. KG
ML Engineer
Develop and deploy machine learning models for industrial data analytics, leveraging Python, deep learning frameworks, and cloud services to drive product innovation.
About the role
Key Responsibilities
- Design, implement, and optimize machine learning algorithms for real‑time data processing in industrial environments.
- Build and maintain data pipelines, ensuring high‑quality, scalable input for model training and inference.
- Collaborate with cross‑functional teams to integrate AI solutions into existing products and services.
- Conduct experiments, evaluate model performance, and iterate to improve accuracy and efficiency.
- Deploy models to cloud platforms (e.g., AWS) and monitor their performance in production.
Requirements
- Strong proficiency in Python and experience with deep learning libraries such as TensorFlow or PyTorch.
- Solid understanding of machine learning concepts, model training, evaluation, and deployment.
- Experience building data pipelines and working with large‑scale datasets.
- Familiarity with cloud services (AWS, Azure, or GCP) and containerization tools.
- Degree in Computer Science, Electrical Engineering, Data Science, or related field, with a track record of delivering AI solutions.
Skills
pythontensorflowpytorchmachine learningaws