Job
Description
At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. As an AI Automation Architect for Customer Business Process Manager, you will be responsible for working on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. This role offers a fantastic opportunity to be part of a leading firm and instrumental in the growth of a new service offering within the Supply Chain Technology group of our GDS consulting Team. You will collaborate with EY Supply Chain & Operations stakeholders and data engineering teams to enable high-quality data curation for model training and evaluation. Design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. Implement solutions for data pre-processing, tokenization, and dataset augmentation. Deploy Generative AI models on cloud platforms (e.g., AWS, GCP, Azure) or edge devices, ensuring scalability and robustness. Work on MLOps pipelines, including CI/CD workflows, model monitoring, and retraining strategies. Conduct performance benchmarking, hyperparameter tuning, and optimization to improve model efficiency. Stay updated on the latest trends and advancements in Generative AI and integrate best practices into project workflows. To qualify for this role, you must have 6-10 years of experience in ML, MLOps, Generative AI LLMs as a Developer/Lead/Architect. Expertise in Data Engineering, Data transformation, curation, feature selection, ETL Mappings, Data Warehouse concepts. Thorough knowledge in SQL, Python, PySpark, Spark, and other languages. Experience in developing end-to-end GenAI solutions with the capability to migrate the solution for Production. Knowledge of Cloud platforms like Azure, AWS, GCP, etc. Knowledge of frameworks like LangChain, Hugging Face, Azure ML Studio Azure. Knowledge of data modeling and Vector DB management and modeling. Design and develop complex flows and processes. Ideally, you'll also have a good understanding of Customer and Supply Chain processes and operations, strong knowledge of Programming concepts, Cloud Concepts, LLM Models, design, and coding. Experience in data handling to resolve any data issues as per client needs. Experience in designing and developing DB objects and Vector DBs. Experience of creating complex SQL queries, PySpark code, Python Scripting for retrieving, manipulating, checking, and migrating complex datasets. Experience in Model selection and tuning of the model. Good verbal and written communication in English, Strong interpersonal, analytical, and problem-solving abilities. Experience of interacting with customers in understanding business requirement documents and translating them into ETL specifications and High- and Low-level design documents. Candidates having additional knowledge of BI tools such as PowerBi, Tableau, etc will be preferred. Experience with Cloud databases and multiple ETL tools. At EY, you'll have the opportunity to drive Generative AI and ML-related developments, with additional knowledge of data structures, preferably in the Supply Chain Industry. You'll be part of a market-leading, multi-disciplinary team of 10,000+ professionals, working with leading businesses across a range of industries globally. EY offers support, coaching, and feedback from engaging colleagues, opportunities to develop new skills and progress your career, and the freedom and flexibility to handle your role in a way that's right for you. EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets.,
