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Machine Learning Engineer

eschbach GmbH · Bad Säckingen | 79713 | Deutschland · Full Remote

Gehalt auf Anfrage

Gefunden am 05.06.2026

Match

84%

Fit in Skills, Kultur und Entwicklungspfad.

Beschreibung

Job Zusammenfassung In dieser Position entwickelst du skalierbare Backend-Dienste für Machine Learning-Modelle, optimierst diese kontinuierlich und arbeitest eng mit Data Scientists zusammen, um Lösungen für unsere Kunden zu schaffen. Job Zusammenfassung In dieser Position entwickelst du skalierbare Backend-Dienste für Machine Learning-Modelle, optimierst diese kontinuierlich und arbeitest eng mit Data Scientists zusammen, um Lösungen für unsere Kunden zu schaffen. Deine Rolle im Team 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 (all genders) to bring machine learning models into production and enable scalable, high-quality solutions across our platform. 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. Unsere Erwartungen an dich Qualifikationen Knowledge of MS SQL and working with large datasets. Solid understanding of software design patterns and data structures. Basic understanding of software security. Team-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. Erfahrung +5 years of experience in Python and backend development (e.g. APIs, services). Experience with machine learning models and their production deployment. Experience with microservices and container-based architectures. Experience with C# is a plus. 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. 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. Themen mit denen du dich im Job beschäftigst Machine Learning Cloud Computing Automation AI Metadaten Level: Senior Job Feld: Data, Back End Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Full Remote Unternehmenstyp: Etablierte Firma Branche: Pharma, Chemie, Biotech Ort: Bad Säckingen | 79713 | Deutschland

Tech Stack

C#PythonSQL

Warum passt du zu dieser Stelle?

Fit technisch: Stark auf Backend und API-Architektur.

Gaps: Fehlende Tool-Erfahrung in 1-2 Schlüsselbereichen.

Success-Wahrscheinlichkeit: Hoch bei schneller Einarbeitung.