Machine Learning Engineer

• Development, training, and deployment of machine learning models for production operation
• Building and maintaining end-to-end ML pipelines (data preparation, feature engineering, model training, monitoring, etc.)
• Ensuring transparency, traceability, and scalability through best practices (CI/CD, MLOps, testing)

• Bachelor's or Master's degree in Computer Science or a related field
• Strong skills in software engineering with Python, TensorFlow, PyTorch, and other ML frameworks, as well as Docker, Kubernetes, APIs, testing, CI/CD, version control with Git, etc.
• Experience in machine learning/MLOps/DevOps environments or as a pre-sales or software engineer is an advantage
• Team-oriented working style with a focus on collaboration and adaptability
• Very good English and/or German language skills

"Nerd" is not an insult but a status symbol? You know more about computers and networks than Bill Gates? Then we want you on our team. In IT at RUAG, you have the opportunity to cover the entire ICT landscape from development to maintenance and contribute your expertise to Switzerland's security.

• Bachelor's or Master's degree in Computer Science or a related field
• Strong skills in software engineering with Python, TensorFlow, PyTorch, and other ML frameworks, as well as Docker, Kubernetes, APIs, testing, CI/CD, version control with Git, etc.
• Experience in machine learning/MLOps/DevOps environments or as a pre-sales or software engineer is an advantage
• Team-oriented working style with a focus on collaboration and adaptability
• Very good English and/or German language skills

• Development, training, and deployment of machine learning models for production operation
• Building and maintaining end-to-end ML pipelines (data preparation, feature engineering, model training, monitoring, etc.)
• Ensuring transparency, traceability, and scalability through best practices (CI/CD, MLOps, testing)