DE-Azure ML And AI Engineer-GDSN02

At EY, you will be part of a globally connected powerhouse of diverse teams that will shape your future with confidence. Your career will have the opportunity to grow in innovative ways as you contribute to cutting-edge projects on the Azure platform. As an Azure ML and Python Developer, you will play a crucial role in designing and implementing data pre-processing, feature engineering, and model training pipelines to ensure model performance and reliability in production environments. Your responsibilities will include developing and deploying machine learning models on the Azure cloud platform using Python programming language and Azure ML services. You will collaborate with data scientists and business stakeholders to understand requirements and translate them into technical solutions. Additionally, you will design and implement scalable data pipelines for model training and inference, maintain APIs on the Azure cloud platform, and monitor and optimize model performance. To excel in this role, you should have a bachelor's degree in computer science, data science, or a related field, along with 6-8 years of experience in machine learning, data engineering, and cloud computing, with a focus on Azure services. Proficiency in Python programming language, Azure ML services, and cloud infrastructure is essential. You should also possess strong analytical and problem-solving skills, excellent communication abilities, and a proactive mindset to thrive in a fast-paced environment. As part of the EY team, you will have the opportunity to work on inspiring and meaningful projects, receive support and coaching from engaging colleagues, and develop new skills to progress your career. You will be encouraged to take ownership of your personal development with an individual progression plan and contribute to a collaborative and interdisciplinary environment that values high quality and knowledge exchange. Join EY to be part of building a better working world where you can shape the future with confidence, develop answers to pressing issues, and contribute to creating new value for clients, people, society, and the planet using data, AI, and advanced technology.,