Machine Learning Engineer – m/f/d

This is a fully remote position, open to applicants in Germany.

📋 Description

• Implement scalable backend services for machine learning models in line with our development and security protocols.

• Work closely with Data Scientists to transition models from prototypes to production-ready solutions.

• Continually enhance and optimize machine learning models that are currently in production.

• Convert customer requirements into effective and scalable machine learning solutions.

• Design and build secure APIs and backend components.

• Develop and manage data access layers (e.g., MS SQL, Elasticsearch).

• Maintain high quality standards in terms of performance and security.

• Contribute to the creation of technical specifications and architectural decisions.

⛳️ Requirements

• Over 5 years of experience in Python and backend development (including APIs and services).

• Proven experience with machine learning models and their deployment in production environments.

• Familiarity with MS SQL and experience handling large datasets.

• Experience with microservices and containerized architectures.

• Strong understanding of software design patterns and data structures.

• Basic knowledge of software security principles.

• Experience with C# is considered a plus.

🏝️ Benefits

• Great team spirit – collaborate with colleagues who foster an enjoyable and supportive work environment.

• A modern, DevOps-oriented engineering culture that encourages autonomy and innovation.

• Opportunity to influence the CI/CD foundations of a growing SaaS product.

• Personal development opportunities – we support your strengths and provide space for professional and personal growth.

• Responsibility and creative freedom – you are encouraged to think proactively, share ideas, and contribute to shaping our work processes.

• Comfortable working environment – enjoy a modern, ergonomic office in the heart of Bad Säckingen, complete with a rooftop terrace, free parking, and cozy spots for work or relaxation.

• A team culture that fosters connection – engage in game nights, hikes, BBQs, Christmas parties, and more; we enjoy spending time together outside of work.

• Flexible work arrangements – our remote work and home-office policy ensures you stay connected and productive while working remotely.

• Snacks and soul food – enjoy fresh coffee, fruit, and snacks, along with complimentary delicious lunch options from local restaurants.