Machine Learning Engineer - Banking IT

As a Machine Learning Engineer, you will focus on the technical implementation of the AI platform. Together with other ML-engineers, architects, and data scientists, you will build and maintain our on-premises, open-source-based delivery platform and expand it with us onto the AWS Cloud. 

What You Can Do:
− You will take a central role in the development of the machine-learning platform, supporting the data science team by maintaining software and infrastructure components, building new functionality, and ensuring compliance with all IT and regulatory requirements.
− Together with the Architecture Owner, AI Architect, and other ML-Engineers, you will design and realize a roadmap for the continuous evolution of the ML-platform, incorporating relevant cutting-edge tools and technologies
− You will establish clear, reusable, well-documented base patterns and templates and assist data scientists with implementing them into their cases, performing code reviews and coaching team members in technical best practices.What you bring: 
− Master’s degree in computer science related field and/or equivalent professional experience
− Several years’ experience deploying and maintaining robust data processing and machine-learning pipelines in a professional setting
− Ability to write clean, modular, production-grade python code following best practices in software development
− Strong communication skills and ability to balance engineering and analytical priorities to translate data science models into reusable, maintainable systems
− Experience with these tools or similar: python, helm, kubernetes, airflow, git, gitlab-ci, prometheus, grafana, splunk, argo-cd, AWS cloud, spark, SQL

Education
− University/technical college degree in computer science or comparable.  

Language Skills
− English oral and written
− Optional: German oral (and written)


− Willingness to travel
− Hybrid Model: One day a week @office (mandatory)Just by joining us you will get benefits like:

• Open minded company where every employee has to contribute to the development of the company - ideas are welcome as well as independent thinking too
• 25 annual days of vacations
• Flexible working hours
• Annual allowance for Benefits (Training, Gym, Public Transportation, Technologies, etc...)
• An amazing onboarding week at Switzerland
• iPhone
• Second Screen to work at home (Flat or a Curved one)
• First month Tech Allowance to buy your headset or, if you already have one, whatever you need to work comfortably
• Health insurance for you and your family
• Life insurance
• Office Perks (coffee, fruit, stand up desks. etc...)
• So much more...