AI Systems Platform Development Engineer (m/w/d) (40 hours/week)

CHN Energy Europe Research GmbH; Berlin; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Competitive compensation

Research environment

Innovative workplace

Creativity freedom

International collaboration

Career development

Zusammenfassung

CHN Energy Europe Research GmbH (CHEER) sucht eine/n Expert/in für KI-Systementwicklung in Berlin, um eine AI-basierte Forschungsplattform aufzubauen, Modelle zu trainieren und LLMs für Architektur-Design und Optimierung einzusetzen.

Sie arbeiten an der Entwicklung skalierbarer KI-Plattformen, nutzen TensorFlow/PyTorch, Kubernetes und Docker, und bringen Fundamente in Energieanwendungen wie Energiespeicherung oder niedrig-Emissionstechnologien mit.

Qualifikationen

• Master’s degree or higher in einem relevanten technischen Bereich
• Mehrjährige Erfahrung in der Entwicklung von KI-Systemen oder Plattformen
• Gute Kenntnisse verteilte Systeme und große Datenverarbeitung
• Beherrschung von Python, Java oder Go
• Erfahrung mit TensorFlow, PyTorch, Kubernetes und Docker
• Kenntnisse von SQL/NoSQL-Datenbanken sowie Cloud-Plattformen (AWS oder Azure)
• Zusätzlicher Hintergrund in Energie, Energiespeicherung oder niedrig-emissions Technologien ist von Vorteil
• Gute Englischkenntnisse; Deutsch und/oder Chinesisch von Vorteil

Aufgaben

• Leitung der Entwicklung der KI-basierten Plattform; Aufbau von KI-Systemen; Training von Modellen und Einsatz der integrierten KI-Plattform
• Anwendung von LLMs zur Gestaltung und Optimierung von Modellarchitekturen
• Nutzung von Robotik für Hochdurchsatz-Experimente zur Beschleunigung der Entdeckung neuer Materialien
• Anwendung KI-getriebener numerischer Modellierung zur Vorhersage des Katalysatorverhaltens
• Kontinuierliche Erforschung neuer KI-Algorithmen zur Optimierung prädiktiver Modelle und Beschleunigung der Katalysatorentwicklung

Kenntnisse

Python

Java

Go

Ausbildung

Master’s degree or higher in Computer Science, AI, Software Engineering or Data Engineering

Tools

TensorFlow

PyTorch

Kubernetes

Docker

SQL/NoSQL

AWS/Azure

Jobbeschreibung

Arbeitsort

Berlin

About the Company

CHN Energy Europe Research GmbH (CHEER) is a subsidiary of CHN Energy Investment Group (China Energy) based in Berlin, Germany. Being an integral part of China Energy’s globalized research and development layout, CHEER features in integrated European-Chinese innovation culture and advanced technology, and operates business in new energy technology research and development with purposes of promoting and accelerating carbon neutrality and making its own contribution in alleviating global climate change.

Centered on the green development strategy and the strategy of innovation-driven scientific and technological development, CHEER is committed to building a world-class research institute with global competitiveness. We focus on six key R&D areas: diversified power conversion, advanced chemical engineering, hydrogen energy, artificial intelligence, energy storage, and new environmental protection technologies.

We are building teams to develop cutting-edge sustainable and affordable technologies to improve energy efficiency, protect the environment, and mitigate climate change. Our ability to excel depends on the integrity, knowledge, skill, imagination, passion, and teamwork of people like you. Currently we have openings for leading experts with a range of focus areas including energy, chemistry, and artificial intelligence. We offer competitive compensation packages and excellent benefits.

Key Responsibilities

• Lead the development of the AI-based “Scientific Brain” research platform, including the overall construction of AI systems; apply large language models (LLMs) to design and optimize model architectures, carry out model training, and deploy the integrated AI platform.
• Utilize robotic technologies to perform high-throughput experiments for the rapid synthesis and screening of a vast array of material candidates, accelerating the discovery of high-performance materials.
• Analyze experimental data from material characterization techniques; correlate material properties with catalytic performance to guide the optimization of catalyst formulations and synthesis methods, thereby enhancing reaction efficiency.
• Apply AI-driven computational modeling techniques to predict catalyst behavior at the atomic level; simulate adsorption, activation, and reaction pathways of reactants, identify promising catalyst candidates, and guide experimental work toward the most effective design directions.
• Continuously explore and apply new AI algorithms and techniques to optimize predictive models and improve catalyst development strategies, thereby accelerating the discovery and optimization of advanced catalysts.

Qualification Requirements

• Master’s degree or higher in Computer Science, Artificial Intelligence, Software Engineering, Data Engineering, or a comparable technical field
• Several years of relevant professional experience in AI system development, platform engineering, or a comparable field
• Solid experience in developing AI systems or scalable platforms, with sound knowledge of distributed system architectures and large-scale data processing
• Proficiency in Python, Java, or Go
• Practical experience with common AI frameworks and infrastructure tools, such as TensorFlow, PyTorch, Kubernetes, and Docker
• Good knowledge of SQL/NoSQL databases, cloud platforms (such as AWS or Azure), and containerized deployment technologies
• Additional academic or professional background in Electrical Engineering, Energy Engineering, Materials Science, Chemistry, or Chemical Engineering is considered an asset
• Knowledge of or experience in energy, energy storage, or low‑carbon technology applications is highly desirable
• Very good English skills are required; German and/or Chinese is an advantage.

We Offer

• Competitive compensation and benefits: We offer an attractive compensation package based on the responsibilities of the role, the candidate’s qualifications, relevant professional experience, and overall fit. Additional benefits and supplementary payments may be granted in accordance with company policies and individual eligibility.
• Excellent research environment: Sufficient research funding and access to advanced digital tools and innovative technologies.
• Innovative workplace: Exciting and diverse tasks in an international R&D setting with a collaborative, open atmosphere.
• Room for creativity: Freedom to contribute your own ideas and actively shape forward‑looking solutions in sustainable energy, technology, and organizational development.
• International collaboration: Interdisciplinary projects and partnerships with renowned academic and industry players across Europe, including opportunities for international exchange.
• Career development: Tailored training programs, individual career pathways, and support for participation in professional events and conferences.