DevOps Engineer (42494)

We are seeking a DevOps Engineer who will join a cutting-edge project focused on reducing energy consumption in large-scale edge computing ecosystems. You will play a key role in developing and implementing AI and ML algorithms to optimize the energy efficiency of edge computing infrastructure, including hardware, software, networking, applications and connected devices such as IoT. The role requires strong experience with tools such as Python, TensorFlow or PyTorch, as well as the ability to analyze large data sets and collaborate effectively with diverse teams.

🚀 Project
- develop and implement AI/ML models that dynamically optimize energy usage across edge computing infrastructure, including workload scheduling, resource allocation, and load balancing to enable a sustainability fosucsed orchestration for cloud edge computing and other IT eco systems.​
- leverage predictive algorithms to anticipate demand and adjust power consumption in real-time, reducing unnecessary energy use without sacrificing performance​
- conduct research into state-of-the-art AI/ML approaches for energy efficiency, focusing on areas such as green AI, energy-aware algorithms, and AI models that require less computational power​
- work closely with sustainability experts, product managers, and engineering teams to ensure AI/M solutions are fully integrated into the broader energy-saving goals of the project​
- evaluate tools and product in the market that can support the use of AI and data collection in an sustainability focused orchstration solution​
- implement AI/ML techniques that reduce the need for large-scale data transmission, such as edge-based data processing and federated learning, to minimize energy consumption associated with data transfers​

🎯 Skills
- proficiency in AI/ML development tools and languages (e.g., Python, TensorFlow, PyTorch, Keras).
- strong analytical skills with the ability to derive insights from large data sets and apply them to improve energy efficiency
- excellent collaboration and communication skills, with the ability to work effectively with cross-functional teams and external stakeholders
- passion for sustainability and a desire to apply AI/ML techniques to reduce environmental impact.
- English at least at B2 level and/or German at B2+ level