data engineer for industrial automation

AI Futures develops AI- and data-driven systems for highly automated industrial production and packaging environments, combining AI, robotics, IoT, and industrial automation to improve physical processes and enable machines to understand their surroundings, make decisions, and operate more autonomously.

• Develop AI- and data-driven systems for industrial applications;
• Process and make usable data from machines, sensors, robots, and connected devices;
• Develop intelligent automation and decision-making processes;
• Build data pipelines and software for industrial real-time applications;
• Integrate AI models and intelligent algorithms into production systems;
• Work with large volumes of machine and sensor data;
• Further develop existing systems and build new technical solutions from scratch;
• Collaborate closely with Software, Robotics, and Engineering teams;
• Test new technologies and evaluate how AI can improve industrial processes.

• Experience with Software Engineering and Data Engineering;
• Experience with AI, Machine Learning, or intelligent data-driven systems;
• Experience with Python or comparable programming languages;
• Experience with cloud or distributed systems;
• Experience with IoT, sensors, or connected devices;
• Experience with data pipelines and real-time data;
• Experience with APIs and modern software architectures;
• Experience with industrial automation or robotics;
• Technical depth, curiosity, and a strong desire to build things.

• Berlin-based hybrid role.