Join EY and build a career as unique as you are. Leverage global scale, inclusive culture, and cutting-edge technology to become your best self. Your unique perspective is crucial in helping EY evolve. Contribute to an exceptional experience for yourself and a better working world for all.

This role is part of Global Delivery Services (GDS), a worldwide network of service delivery centers instrumental in EY's strategy for growth. GDS ensures effective support for EY's growth agenda, enabling account teams globally to deliver seamless, high-quality, value-added client service across Consulting, Assurance, Tax, Strategy & Transactions, and Knowledge. Enablement Services offers cost-effective, innovative services in areas like Markets, BMC, AWS, Finance, Risk Management, Procurement, HR Shared Services, IT Service Delivery, and IT Global Infrastructure. Our innovation specialists within GDS collaborate with Client Service and Enablement teams, Service Lines, Core Business Services, and Sectors, bringing together the right environment, technologies, and skilled teams for rapid prototyping and innovative thinking. Core competencies include analytics, digital, user experience, mobile technology, infrastructure, Microsoft technologies, and open innovation.

As a Full Stack Engineer, you will be passionate about working on next-generation products with an agile and innovative mindset. You will implement adopted design/development methodologies, patterns, and toolsets, understanding business objectives to design models and metrics for tracking progress.

You will manage resources effectively to meet deadlines. Your role involves exploring and visualizing data to understand its distribution and potential impact on real-world model performance, alongside verifying and cleaning data quality. You'll design and develop machine learning algorithms, discover analytical methods for novel data processing, and prepare historical data to identify patterns.

Additional responsibilities include providing technical support for program management and business development, supervising data acquisition, finding relevant online datasets for training, and training models while tuning their hyperparameters. Analyzing model errors and designing strategies to overcome them, as well as deploying models to production, are key aspects of this role.

This role requires 5+ years of experience in Microsoft Technologies and Azure Web Apps development and deployments. Experience with Microservices and serverless architecture, including Service Fabric, Functions, API Apps, Service Bus, and message queues, is essential.

You must have proficiency in .NET/Web API (.NET CORE), and be skilled in React JS/Angular JS and Next JS frameworks. Leading frontend architecture decisions and ensuring best practices in React/Angular, JavaScript, and TypeScript is expected. Collaboration with product managers, designers, and backend engineers to deliver quality features is a key part of this role.

Optimization of application performance, responsiveness, and accessibility across devices and browsers is required. Experience with C#/.NET and GenAI prompts is necessary. Azure Static Web Apps, Azure App Services, Azure CDN/Front Door, Azure API Management, and identity integration (Azure AD, OAuth2, OIDC) are important. Experience working with serverless backends (Azure Functions) and a good understanding of Gen AI with hands-on experience in OpenAI or other GPT models are crucial.

Good knowledge in Azure Cognitive Services is required. You should possess the ability to see the big picture and have proven experience in designing highly secured and scalable web applications on Azure cloud.