Stellenbeschreibung:

You’ll work closely with data scientists, engineers, and product teams to build scalable and reliable machine learning systems from experimentation through to production.This role is ideal for someone who enjoys problem-solving, has strong software engineering fundamentals, and is passionate about turning complex data into real-world applications.



Key Responsibilities
• Design, build, and maintain machine learning models to solve real-world problems
• Develop scalable data pipelines and ML infrastructure for training, validation, and deployment
• Collaborate with data scientists to transition models from research to production
• Optimise model performance and monitor drift, accuracy, and latency over time
• Stay up to date with the latest ML/AI trends and integrate relevant technologies into existing systems
• Partner with software engineers, product managers, and stakeholders to deliver AI-driven features


Requirements
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field
• Proven experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Strong programming skills in Python (plus experience with Git, Docker, or Linux)
• Experience working with structured and unstructured data (e.g. images, text, time-series)

NOTE / HINWEIS:

EN: Please refer to Fuchsjobs for the source of your application

DE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung