Machine Learning Engineer (m/w/d)
Wir suchen dich als
We are a forward-thinking SaaS company serving the chemical and pharmaceutical manufacturing industry, with a strong focus on DevOps excellence, CI/CD automation, and delivering high-quality cloud-native solutions. Our teams work collaboratively to build reliable, scalable software that helps our customers operate safely, efficiently, and intelligently.
As we continue to expand our AI-driven capabilities, we are looking for a motivated Machine Learning Engineer (m/w/d) to bring machine learning models into production and enable scalable, high-quality solutions across our platform.
Deine Aufgaben
Implement machine learning models as scalable backend services following our development and security guidelines
Collaborate closely with Data Scientists to bring models from concept to production
Continuously improve and optimize machine learning models in production
Translate customer requirements into effective and scalable ML solutions
Design and implement secure APIs and backend components
Develop and maintain data access layers (e.g. MS SQL, Elasticsearch)
Ensure high standards of quality, performance, and security
Contribute to technical specifications and architecture decisions
Was du mitbringst
Hard Skills & Experiences
+5 years of experience in Python and backend development (e.g. APIs, services)
Experience with machine learning models and their production deployment
Knowledge of MS SQL and working with large datasets
Experience with microservices and container-based architectures
Solid understanding of software design patterns and data structures
Basic understanding of software security
Experience with C# is a plus
Soft Skills
We value mindset as much as skillsetTeam-oriented and comfortable working across disciplines (Data Science, Dev, Product)
Strong analytical thinking and problem-solving mindset
Hands-on, proactive, and solution-driven
Passion for building scalable and high-quality software
Eager to learn and continuously improve
Unser Angebot
Great team spirit – Work with colleagues who make collaboration fun and always have each other’s backs.
A modern DevOps-focused engineering culture with autonomy and space to innovate
The opportunity to shape CI/CD foundations for a scaling SaaS product
Personal development – We support your strengths and give you the space to grow both professionally and personally.
Responsibility & creative freedom – With us, you’re encouraged to think ahead, contribute ideas, and help shape how we work.
Feel-good workplace – Enjoy a modern, ergonomic office in the heart of Bad Säckingen, complete with a rooftop terrace, free parking, and plenty of cozy spots to work or relax.
Team culture that connects – Game nights, hikes, BBQs, Christmas parties & more – we love spending time together beyond work (get a sneak peek on Instagram & Facebook!).
Flexible working – Thanks to our home-office policy, you stay connected and productive even when working remotely.
Snacks & soul food – Fresh coffee, fruit, and snacks are always available – plus, you can enjoy free, delicious lunch options from local spots in town.
Bereit für die Challenge?
Interested in joining our team? Apply directly by clicking the "Apply for this job" button!
Ansprechpartner*in
Do you have any questions? Contact Julia Lüber (Email: [email protected])!
Apply To This Job
We are a forward-thinking SaaS company serving the chemical and pharmaceutical manufacturing industry, with a strong focus on DevOps excellence, CI/CD automation, and delivering high-quality cloud-native solutions. Our teams work collaboratively to build reliable, scalable software that helps our customers operate safely, efficiently, and intelligently.
As we continue to expand our AI-driven capabilities, we are looking for a motivated Machine Learning Engineer (m/w/d) to bring machine learning models into production and enable scalable, high-quality solutions across our platform.
Deine Aufgaben
Implement machine learning models as scalable backend services following our development and security guidelines
Collaborate closely with Data Scientists to bring models from concept to production
Continuously improve and optimize machine learning models in production
Translate customer requirements into effective and scalable ML solutions
Design and implement secure APIs and backend components
Develop and maintain data access layers (e.g. MS SQL, Elasticsearch)
Ensure high standards of quality, performance, and security
Contribute to technical specifications and architecture decisions
Was du mitbringst
Hard Skills & Experiences
+5 years of experience in Python and backend development (e.g. APIs, services)
Experience with machine learning models and their production deployment
Knowledge of MS SQL and working with large datasets
Experience with microservices and container-based architectures
Solid understanding of software design patterns and data structures
Basic understanding of software security
Experience with C# is a plus
Soft Skills
We value mindset as much as skillsetTeam-oriented and comfortable working across disciplines (Data Science, Dev, Product)
Strong analytical thinking and problem-solving mindset
Hands-on, proactive, and solution-driven
Passion for building scalable and high-quality software
Eager to learn and continuously improve
Unser Angebot
Great team spirit – Work with colleagues who make collaboration fun and always have each other’s backs.
A modern DevOps-focused engineering culture with autonomy and space to innovate
The opportunity to shape CI/CD foundations for a scaling SaaS product
Personal development – We support your strengths and give you the space to grow both professionally and personally.
Responsibility & creative freedom – With us, you’re encouraged to think ahead, contribute ideas, and help shape how we work.
Feel-good workplace – Enjoy a modern, ergonomic office in the heart of Bad Säckingen, complete with a rooftop terrace, free parking, and plenty of cozy spots to work or relax.
Team culture that connects – Game nights, hikes, BBQs, Christmas parties & more – we love spending time together beyond work (get a sneak peek on Instagram & Facebook!).
Flexible working – Thanks to our home-office policy, you stay connected and productive even when working remotely.
Snacks & soul food – Fresh coffee, fruit, and snacks are always available – plus, you can enjoy free, delicious lunch options from local spots in town.
Bereit für die Challenge?
Interested in joining our team? Apply directly by clicking the "Apply for this job" button!
Ansprechpartner*in
Do you have any questions? Contact Julia Lüber (Email: [email protected])!
Apply To This Job