Machine Learning Engineer – GenAI (f / m / d)

Tomorrow Things; Köln; Remote; EUR 55.000 - 80.000; Vollzeit

Zusammenfassung

Tomorrow Things is seeking a Data Scientist / ML Engineer to enhance their Remote Support Platform through AI innovations. The role focuses on model development for predictive maintenance and requires a strong foundation in Python and machine learning libraries. Enjoy a flexible, fully remote work culture while tackling real-world industrial challenges.

Leistungen

Fully remote and flexible work culture

Competitive compensation including stock options

High impact role in a growing AI-focused team

Qualifikationen

• 3+ years in data science or ML engineering, ideally in IoT, SaaS, or support platforms.
• Experience with NLP (preferably multilingual) and time series modeling.

Aufgaben

• Develop and refine AI agent models using historical support data.
• Build real-time anomaly detection and diagnostics systems.

Kenntnisse

Python

Machine Learning

NLP

Data Analysis

Tools

PyTorch

TensorFlow

scikit-learn

Jobbeschreibung

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. 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.

Your Role

As a Data Scientist / Machine Learning Engineer — GenAI, you’ll design, develop, and deploy models that enable smarter, faster support — from AI agent optimization to predictive maintenance and multilingual NLP.

What You’ll Do

• 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

Why Join Tomorrow Things?

• 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

Ready to shape the digital factory of the future? Apply directly via LinkedIn.

Let’s build tomorrow’s factories, today.

Machine Learning Engineer • Cologne Germany