AI Automation Architect

As an AI Automation Architect for Customer Business Process at EY, you will have the opportunity to work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. Your role will involve collaborating with EY Supply Chain & Operations stakeholders and data engineering teams to ensure high-quality data curation for model training and evaluation. You will also design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. Implementing solutions for data pre-processing, tokenization, and dataset augmentation will be part of your responsibilities. Additionally, you will deploy Generative AI models on cloud platforms such as AWS, GCP, or Azure, ensuring scalability and robustness. Your role will also involve working on MLOps pipelines, including CI/CD workflows, model monitoring, and retraining strategies. Staying updated on the latest trends and advancements in Generative AI and integrating best practices into project workflows will be essential. **Key Responsibilities:** - Collaborate with EY Supply Chain & Operations stakeholders and data engineering teams for high-quality data curation - 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 (AWS, GCP, Azure) or edge devices for 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 **Qualifications Required:** - 6 years of experience in Generative AI, Machine Learning, or Analytics development - Proficiency in Python with a focus on AI/ML libraries and frameworks like LangChain, TensorFlow, PyTorch, or Hugging Face Transformers - Experience with data pipelines and tools like Spark, Snowflake, or Databricks - Strong hands-on experience deploying AI models on cloud platforms such as AWS SageMaker, GCP Vertex AI, or Azure ML - Expertise in Model Development with in-depth knowledge of LLMs (e.g., GPT-3.5, GPT-4, DALL-E, Text Embeddings Ada, LLAMA, T5, Bloom), prompt engineering, and Model selection and fine-tuning techniques - Familiarity with Vector Databases and embeddings (e.g., Pinecone, Weaviate) - Experience working on end-to-end analytics pipelines with a focus on actionable insights - Hands-on exposure to APIs for integrating Generative AI solutions into business applications - Knowledge of NLP techniques like summarization, text classification, and entity recognition - Certifications in Machine Learning or cloud platforms are a plus At EY, you will have the opportunity to drive Generative AI and ML-related developments and work with a market-leading, multi-disciplinary team of professionals globally. You will be part of an environment that emphasizes high quality, knowledge exchange, and personal development, with opportunities to work on inspiring and meaningful projects. EY offers support, coaching, and feedback from engaging colleagues, opportunities for skill development and career progression, and the freedom and flexibility to shape your role in a way that suits you. EY is committed to building a better working world by creating long-term value for clients, people, and society through trust and innovation in over 150 countries. As an AI Automation Architect for Customer Business Process at EY, you will have the opportunity to work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. Your role will involve collaborating with EY Supply Chain & Operations stakeholders and data engineering teams to ensure high-quality data curation for model training and evaluation. You will also design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. Implementing solutions for data pre-processing, tokenization, and dataset augmentation will be part of your responsibilities. Additionally, you will deploy Generative AI models on cloud platforms such as AWS, GCP, or Azure, ensuring scalability and robustness. Your role will also involve working on MLOps pipelines, including CI/CD workflows, model monitoring, and retraining strategies. Staying updated on the latest trends and advancements in Generative AI and integrating best practices into project workflows will be essential. **Key Responsibilities:** - Collaborate with EY Supply Chain & Operations stakeholders and data engineering teams for high-quality data curation - Design, develop, and fine-tune Generative AI model