We are seeking an experienced AI/ML Engineer to join a cutting-edge European project aimed at reducing energy consumption in large-scale Edge computing ecosystems. In this role, 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, connected devices (IoT), and operational processes across the ecosystem.
This role offers an exciting opportunity to be at the forefront of sustainable computing and leverage AI/ML to drive meaningful environmental impact. If you are passionate about sustainability and have strong AI/ML skills, we encourage you to apply.

• 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-focused orchestration for cloud-edge computing and other IT ecosystems.
• 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/ML solutions are fully integrated into the broader energy-saving goals of the project.
• Evaluate tools and products in the market that can support the use of AI and data collection in a sustainability-focused orchestration 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.
• Collaborate with internal and external partners and stakeholders to ensure successful project execution.

• 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.
• Experience in edge computing, distributed systems, and energy-efficient computing is a plus.