Software Engineer - Machine Learning (Search) (f / m / d)

The Nautilus product team builds and operates Galaxus’ product search, delivering millions of search results each day and helping customers find the perfect products. As we continue to productionize more ML-driven features, we’re doubling down on leveraging advanced models to enhance search quality, relevance, and overall user experience.

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

Main task

You are part of a team of Software Engineers and Data Scientists.

Main task

You take ownership of core engineering tasks, from architecting and evolving high-performance APIs to ensuring our infrastructure runs reliably.

Main task

You build and maintain the serving infrastructure to ensure our ML models run reliably, efficiently, and at scale in production

Main task

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.

Main task

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

Mandatory

4+ years of professional experience as a Software Engineer, with strong proficiency in the .NET ecosystem (C#) or equivalent (. Java).

Mandatory

2+ years of experience shipping ML models to production and managing their entire lifecycle (deployment, monitoring, and retraining)

Mandatory

Python profficiency with hands-on experience with ML libraries (PyTorch, NumPy, pandas, scikit-learn, transformers, .

Mandatory

Experience with MLOps practices and tools (MLflow, DVC, W&B, Airflow) along with cloud / infrastructure technologies such as GCP, Kubernetes, Docker, and Terraform

Mandatory

Professional experience with search systems (., Elasticsearch, Solr, or vector databases) is considered a strong plus.

Mandatory

Openness, curiosity and initiative are what set you apart. You use your creativity to solve problems and achieve goals.

Mandatory

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.