Senior Machine Learning Engineer
RUAG AG
Bern
Key information
- Publication date:04 October 2025
- Workload:100%
- Place of work:Bern
Job summary
Join RUAG's IT team to develop and deploy innovative ML solutions. Collaborate in a supportive and dynamic environment with great benefits.
Tasks
- Develop, train, and deploy machine-learning models for production.
- Build and maintain end-to-end ML pipelines including data prep.
- Ensure transparency and scalability using best practices like CI/CD.
Skills
- Bachelor's or Master's in Computer Science or related field required.
- Strong software engineering skills in Python and ML frameworks.
- Excellent teamwork and communication skills in English or German.
Is this helpful?
What you can achieve
- 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)
What you bring
- Bachelor's or Master's degree in Computer Science or a related field
- Several years of professional experience in the machine learning/MLOps/DevOps environment
- Experience as a pre-sales or software engineer is an advantage
- Strong knowledge in software engineering with Python, TensorFlow, PyTorch, and other ML frameworks, as well as Docker, Kubernetes, APIs and testing, CI/CD, version control with Git, etc.
- Team-oriented working style with a focus on collaboration and adaptability
- Very good English and/or German skills for collaboration with team members
Salary and benefits
"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 the IT department of RUAG, you have the opportunity to cover the entire ICT landscape from development to maintenance and contribute your expertise to the security of Switzerland.
- Bachelor's or Master's degree in Computer Science or a related field
- Several years of professional experience in the machine learning/MLOps/DevOps environment
- Experience as a pre-sales or software engineer is an advantage
- Strong knowledge in software engineering with Python, TensorFlow, PyTorch, and other ML frameworks, as well as Docker, Kubernetes, APIs and testing, CI/CD, version control with Git, etc.
- Team-oriented working style with a focus on collaboration and adaptability
- Very good English and/or German skills for collaboration with team members
- 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)
