Supply Chain-AI Automation- Consultant

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. We are currently seeking Senior Level Consultants with expertise in Generative AI to join our Supply Chain Technology group within the GDS consulting Team. This role offers 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. You will play a key role in driving new business initiatives and solutions for our clients within the Supply Chain industry. Key Responsibilities: - Collaborate with 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. Skills and Attributes for Success: - 4-7 years of experience in Generative AI, Machine Learning, or Analytics development. - Proficiency in Python with 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 (AWS SageMaker, GCP Vertex AI, or Azure ML). - Expertise in Model Development with in-depth knowledge of LLMs such as GPT-3.5, GPT-4, DALL-E, and others. - Experience with tools like MLflow, Kubeflow, or Airflow for operationalizing ML workflows. - Ability to mentor developers and contribute to architectural decisions. - Familiarity with Vector Databases and embeddings. - Knowledge of NLP techniques like summarization, text classification, and entity recognition. - Certifications in Machine Learning or cloud platforms are a plus. Qualifications: - 4-7 years of ML, MLOps, Generative AI experience as Developer/Lead/Architect. - Expertise in Data Engineering, Data transformation, curation, feature selection, ETL mappings, and Data Warehouse concepts. - Proficiency in SQL, Python, PySpark, Spark, and other languages. - Knowledge of Cloud platforms and frameworks like LangChain, Hugging Face, Azure ML Studio. - Experience in designing and developing end-to-end GenAI solutions for production. - Strong communication skills and ability to interact with clients to understand business requirements. EY offers a dynamic and inclusive work environment where you can contribute to cutting-edge projects and develop your skills. Join us in building a better working world through innovation and collaboration.,