As an AI Infrastructure Specialist, you will be based in Haarlem, Netherlands, and play a crucial role in developing cutting-edge AI and machine learning solutions to support a more sustainable energy grid. You will design robust container solutions, optimize pipelines, and ensure AI and machine learning models run efficiently with hardware acceleration. Additionally, you will manage and develop the underlying hardware infrastructure to create an on-premises platform for internal teams to innovate. Your expertise will be instrumental in building a future-proof energy network.
Your Role: As an AI Infrastructure Specialist, you will be responsible for creating a scalable and reliable infrastructure for AI and machine learning. This includes designing, building, and maintaining container and pipeline solutions that enable optimal model performance. You will also develop a solid on-premises platform that allows internal teams to innovate efficiently.
Key Responsibilities: Develop and manage container solutions for AI and machine learning workloads using tools like Docker and Kubernetes. Set up and optimize CI/CD pipelines for container deployment with hardware acceleration. Collaborate with data scientists and development teams to integrate AI and machine learning models efficiently into the infrastructure. Manage and develop an on-premises hardware platform for AI, ML, and LLM applications. Monitor and optimize hardware acceleration for AI and machine learning applications, focusing on scalability and reliability. Apply fundamental knowledge of frameworks such as PyTorch, TensorFlow, and NumPy when testing and deploying AI and machine learning models. Identify new technologies and tools to enhance AI and machine learning infrastructure. About the Company: Our client is a leading enterprise in the energy sector, committed to building a sustainable and future-proof energy grid for millions of Dutch citizens. Together with their subsidiaries, they are at the forefront of the energy transition. Your expertise in AI infrastructure will help ensure that their innovative AI and machine learning solutions operate flawlessly, contributing to a more efficient and sustainable future.
What They Offer: You will be part of a dynamic team of professionals working to accelerate the energy transition. The company provides the right tools, training, and support to help you grow in your role. You will have every opportunity to apply your expertise and further develop your skills in a stimulating work environment.
Role Requirements: Bachelor's Degree Extensive experience with container technologies (such as Docker and Kubernetes). Knowledge of CI/CD pipelines and deploying AI and machine learning applications. Experience with hardware acceleration and developing on-premises infrastructure. Basic knowledge of machine learning frameworks such as PyTorch, TensorFlow, and NumPy. A structured, results-oriented work ethic and excellent communication skills. Are you ready to bring your technical expertise and fresh perspective to this innovative organization? Apply now and contribute to shaping the future of energy infrastructure!