
51 - 200 employees
eschbach's enterprise software solution for manufacturing operations provides operations teams with transparent communication and integrated data from sources like SAP and AVEVA to help teams develop better KPIs, track waste and other production outputs, and safety issues. Our award-winning Shiftconnector® platform is continuously updated thanks to the feedback from our customers. Today, Shiftconnector is used by leading chemical, pharmaceutical and other manufacturers worldwide. Check our website to learn more about Shiftconnector platform.
🕒 April 23
🗣️🇩🇪 German Required
Improve your chances of getting an interview by checking your resume score before you apply.

51 - 200 employees
eschbach's enterprise software solution for manufacturing operations provides operations teams with transparent communication and integrated data from sources like SAP and AVEVA to help teams develop better KPIs, track waste and other production outputs, and safety issues. Our award-winning Shiftconnector® platform is continuously updated thanks to the feedback from our customers. Today, Shiftconnector is used by leading chemical, pharmaceutical and other manufacturers worldwide. Check our website to learn more about Shiftconnector platform.
• Implement machine learning models as scalable backend services in accordance with our development and security guidelines • Collaborate closely with Data Scientists to take models from prototype to production • Continuously improve and optimize machine learning models in production • Translate customer requirements into effective, 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
• 5+ years of experience with Python and backend development (e.g., APIs, services) • Experience with machine learning models and production deployment • Knowledge of MS SQL and experience working with large datasets • Experience with microservices and container-based architectures • Solid understanding of software design patterns and data structures • Basic knowledge of software security • Experience with C# is a plus
• Great team spirit – work with colleagues who make collaboration enjoyable and always support each other • A modern DevOps-focused engineering culture with autonomy and room to innovate • The opportunity to shape CI/CD foundations for a scaling SaaS product • Personal development – we support your strengths and give you space to grow professionally and personally • Responsibility & creative freedom – you are encouraged to think ahead, contribute ideas, and help shape our working methods • Comfortable workplace – a modern, ergonomic office in the heart of Bad Säckingen 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 enjoy spending time together beyond work • Flexible working – our remote-work/home-office policy helps you stay connected and productive when working remotely • Snacks & soul food – fresh coffee, fruit, and snacks are always available, plus free, delicious lunch options from local restaurants
Apply Now🕒 April 2
11 - 50
Design and implement AI/Machine-Learning services for super.AI as part of its explosive growth. Collaborate in building SDKs and systems enhancing machine learning workflows.
🇩🇪 Germany – Remote
💰 $12M Series A on 2021-06
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
AWS
Azure
Cloud
Docker
Google Cloud Platform
Kubernetes
Python
🕒 March 28
Machine Learning Engineer developing innovative ML services and operations platforms. Engaging with diverse industries on challenging use cases in data processing and AI systems.
🗣️🇩🇪 German Required
Cloud
Keras
Kubernetes
Python
PyTorch
Tensorflow
🕒 March 28
ML Engineer at Melotech developing scalable ML systems for media and entertainment platforms. Collaborating with teams to enhance creative processes using cutting-edge models and algorithms.
Cloud
Docker
Kubernetes
Python
🕒 March 27
MLOps Engineer optimizing machine learning models for automotive insights at COMPREDICT. Designing efficient pipelines and collaborating with data scientists, developers, and stakeholders.
🇩🇪 Germany – Remote
💰 $15M Series B on 2024-06
⏰ Full Time
🟢 Junior
🟡 Mid-level
🤖 Machine Learning Engineer
AWS
Cloud
Kubernetes
🕒 March 27
AI/ML Engineer developing machine learning models and algorithms for a leading digital health platform. Collaborating with cross-functional teams to drive impactful solutions in healthcare.
Apache
AWS
Cloud
Docker
Google Cloud Platform
JavaScript
Keras
Kubernetes
Microservices
MongoDB
Numpy
Pandas
Python
PyTorch
Scikit-Learn
Spark
Tensorflow
TypeScript