Key information
We welcome all applications, but can only consider applications submitted online. Applications submitted by post will be disposed of for data protection reasons and will not be returned.
What you move
You are part of a team of Software Engineers and Data Scientists.
You take ownership of core engineering tasks, from architecting and evolving high-performance APIs to ensuring our infrastructure runs reliably.
You build and maintain the serving infrastructure to ensure our ML models run reliably, efficiently, and at scale in production
You take a leading role in ensuring that our ML models are seamlessly integrated into CI/CD pipelines, automated for retraining, and monitored for performance drift.
You stay up-to-date with emerging technologies and industry trends to continuously enhance our our MLOps practices and software architecture.
What you will bring
Minimum 4 years of professional experience
In Software Enginnering
Completed degree (university / university of applied science / higher technical college)
Computer Science, Data Science (ETH/UNI/FH), or a related field; or equivalent professional experience
German (Good knowledge)
English (Fluent)
German is a plus
4+ years of professional experience as a Software Engineer, with strong proficiency in the .NET ecosystem (C#) or equivalent (e.g. Java).
2+ years of experience shipping ML models to production and managing their entire lifecycle (deployment, monitoring, and retraining)
Python profficiency with hands-on experience with ML libraries (PyTorch, NumPy, pandas, scikit-learn, transformers, etc.).
Experience with MLOps practices and tools (MLflow, DVC, W&B, Airflow) along with cloud/infrastructure technologies such as GCP, Kubernetes, Docker, and Terraform
Professional experience with search systems (e.g., Elasticsearch, Solr, or vector databases) is considered a strong plus.
Openness, curiosity and initiative are what set you apart. You use your creativity to solve problems and achieve goals.
The capacity to adapt to ongoing changes in the work environment
The benefits we offer
Flexible working hours
Flexible workplace / working from home
Maternity/paternity leave
Mobile phone subscription
Employee offers
Holidays
Individual continuing training
Initial and continuing vocation training
Personal responsibility & freedom
Room to manoeuvre and decision-making
Application and contact details
Patrick Meise
People Attraction & Active Sourcing Specialist
Information for recruitment agencies
Only direct applications will be considered for this position.