AI System Architect in Bucuresti

Ideal candidate: A bachelor's or master's degree or certificates in computer science, artificial intelligence, or a related field is a must. Relevant work experience in AI system development, software engineering, or system architecture is highly valued. Solid understanding of various AI techniques, such as machine learning, deep learning, natural language processing, and computer vision. Must be familiar with different AI frameworks, libraries, and tools. Strong programming skills are essential, particularly in languages commonly used in AI development, such as Python, Java, or C++. Knowledge of other languages, such as R or MATLAB, can also be beneficial. AI system architects should be familiar with popular AI technologies and frameworks, such as TensorFlow, PyTorch, Keras, or scikit-learn. They should have hands-on experience in implementing AI models and systems using these tools. A deep understanding of system design principles, architecture patterns, and software engineering best practices is crucial. Knowledge of data management and processing techniques, including data ingestion, storage, preprocessing, and integration. Familiarity with big data technologies like Hadoop, Spark, or distributed computing frameworks is advantageous. Experience with cloud platforms, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform, is important. Strong problem-solving abilities and analytical thinking are crucial for an AI system architect. Effective communication skills are essential. Good to know : Power Automate, Power Apps and MsSQL optimization. Responsibilities: The role of an AI system architect involves designing and developing the architecture and infrastructure for AI systems. AI system architects should be able to design scalable, efficient, and robust AI systems that meet the requirements of the specific use cases. AI system architects should be capable of deploying AI systems on the cloud, managing cloud resources, and optimizing performance and cost-efficiency. Must be able to identify and address technical challenges, optimize system performance, and make informed decisions based on data and analysis. Collaborate with cross-functional teams, including data scientists, software engineers, and stakeholders. Should be able to communicate complex technical concepts and ideas clearly and concisely. Given the rapid advancements in AI technologies, AI system architects should be proactive in staying updated with the latest trends, research, and industry developments. You should have a passion for learning and be willing to adapt to new tools and techniques. Our IT department is committed to providing support to all group companies, especially during times when the tasks and demands are not excessively demanding. Powered by JazzHR