Remote, Europe preferred
Full-time
Role description
At Tomorrow Things, we’re building intelligent infrastructure for industrial support. Our Remote Support Platform uses AI agents, real-time telemetry, and continuous learning to minimize downtime and maximize efficiency for machine operators.
Role description
We're looking for a Data Scientist / ML Engineer to take this to the next level by driving predictive intelligence, agent learning, and real-time diagnostics.
As a Data Scientist / ML Engineer, you’ll design, develop, and deploy models that enable smarter, faster support — from AI agent optimization to predictive maintenance and multilingual NLP.
Develop and refine AI agent models using historical support data and technician feedback
Build real-time anomaly detection and diagnostics systems using machine telemetry
Design and maintain supervised and reinforcement learning loops for support automation
Collaborate with engineering and product teams to integrate models into production
Analyze support outcomes, SLA metrics, and satisfaction scores to improve support quality
Contribute to Things OS data pipelines and the broader AI/ML platform strategy
What you bring
3+ years in data science or ML engineering roles, ideally in IoT, SaaS, or support platforms
Solid Python and ML libraries experience (e.g., PyTorch, TensorFlow, scikit-learn)
Experience with NLP (preferably multilingual) and time series modeling
Familiarity with edge/cloud connectivity systems and industrial data is a plus
Strong communication skills and product-oriented mindset
What we offer
Apply machine learning to real-world industrial problems
High impact role in a growing AI-focused team
Fully remote, flexible work culture with hybrid options in Bonn
Competitive compensation including stock options
Work with diverse data, from language to telemetry, and shape future capabilities
Verringerung der Ausfallzeiten
Maschinenstillstandszeiten werden durch Fernwartung massiv reduziert.