Degree in computer science, data science, or related field., At least 3 years of experience in backend, ML, or data engineering., Proficiency in Python for backend services., Experience with building data pipelines, deploying ML models, and working with cloud platforms like Azure and AWS..
Key responsibilities:
Design, build, and operate backend services for ML/AI solutions.
Collaborate with data scientists, engineers, and analysts to develop scalable backend systems.
Ensure high code quality and maintainability through best practices.
Work closely with product managers to meet stakeholder requirements.
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Unlock market data tailored to machine manufacturers needs with MARKT-PILOT! Our promise is simple: MARKT-PILOT enables data-driven decision-making, strategic planning, long-term revenue growth, and increased customer satisfaction. We combine data of +10,000 industrial sources for full transparency on prices and lead time for your parts. PRICERADAR provides a comprehensive analysis of your growth potentials. PRICEGUIDE allows customized and AI-driven price suggestions tailored to your businesses' goal. Trusted by over 100 clients, our pricing software has demonstrated an average of 21% revenue growth on parts in the first year of using MARKT-PILOT. Start using your businesses full potential with us - book a demo today!
We’re one of Germany’s fastest-growing B2B scale-ups. On a mission to bring full market transparency to the world of industrial spare parts. Our software redefines how pricing is done in manufacturing.
To make this happen, we’re building an architecture that’s scalable by default, cloud-native at its core, and ready to support bold experimentation - without compromising reliability or security.
We’re looking for a (Senior) ML Backend Engineer to join our AI & Analytics team. You will work closely with data scientists, data engineers and analysts to build scalable backend services that power our automation and analytics solutions.
Your Mission
Design, build, and operate backend services for our ML/AI solutions in an event-driven architecture (EDA/ECST).
Take ownership of projectsand align technical integrations and infrastructure across teams, driving continuous improvement and reliability.
Contribute to evolving our data platform through integration with existing systems and adoption of new technologies.
Collaborate with your team to define and uphold software engineering best practices and maintain high code quality.
Share your knowledge across your team and the product development unit to positively impact all software engineers.
Work closely with product managers and cross-functional teams to ensure that solutions meet stakeholder requirements.
Your Skills
You have a degree in computer science, data science, or a related field.
You bring solid expertise in backend, ML, or data engineering, with experience building and maintaining production systems. While numbers aren’t everything, this level of skill typically comes with at least 3 years of professional experience in high-impact projects.
You are proficient in Python – our primary language for backend services. Experience with SQL is a plus.
You have hands-on experience building data pipelines and deploying ML models and integrating LLMs.
You are comfortable working with cloud platforms. We use Azure and AWS.
Your entrepreneurial mindset shapes the way you take initiative, embrace feedback, and take full ownership of your projects.
Your passion for problem-solving, attention to detail, and drive for continuous improvement sets you apart.
Teamwork is essential to you, and your open, sociable attitude makes you thrive in collaborative environments.
No one is perfect. If you don't tick all the boxes but have a strong desire to grow into this role – you are exactly who we’re looking for!