.Sobre o nosso clienteEnabled by data and technology, this company is onsite in +150 countries providing trust through assurance. Working across consulting, law, strategy, risk, tax and transactions departments.DescriçãoDevelop PoC using Pre-trained Foundation Models and assisting stakeholders with analysis and implementation.Applying prompt-engineering techniques to specific use cases and model types.Collaborating with clients to rapidly develop AI solutions using Azure AI.Applying Foundation Models to propose and validate hypotheses for business queries.Displaying a growth mindset and genuine curiosity to understand clients' business processes and challenges, employing statistical analysis skills to identify transformation opportunities.Designing, implementing, and productizing AI pipelines with best practices and tools for seamless data handling, preprocessing, prompt design and engineering, deployment, and monitoring.Architecting end-to-end LLMOps solutions using cloud technologies, automation, and orchestration tools. Ensuring scalability, reproducibility, and reliability of AI/ML solutions.Developing Generative AI solutions and prompt management frameworks using cutting-edge methods to generate diverse and high-quality insights.Contributing to AI governance and ethics practices, addressing data privacy, model explainability, bias mitigation, and human-in-the-loop evaluation.Participating in large-scale client engagements. Fostering relationships with client personnel at appropriate levels. Consistently delivering quality client services. Driving high-quality work products within expected timeframes and on budget.Perfil ideal2+ years of proven experience in designing and delivering AI/ML solutions.Experience in natural language processing (NLP) and text analytics is highly desirable.Knowledge of cloud technologies, specifically Azure, and expertise in leveraging them for large-scale AI workloads.Ability to identify fundamental problems from real-world cloud use-cases and design, build, and validate successful AI solutions.Bachelor's degree or MS degree in Computer Science, Engineering, Informatics, Statistics, Data Science.Comprehensive understanding and hands-on experience with LLM workflows, LLM lifecycle management frameworks, and tools like ML-PromptFlow.Proficiency in using Visual Studio Code.Proven experience with relevant cloud technologies, ideally MS Azure or AWS, GCP.Knowledge and proficiency in Azure AI Services including Azure AI Search.Experience building AI products using LLMs, embeddings or other natural language technologies particularly leveraging Vector Search.Strong understanding of key concepts in Foundation Models literature and expertise in building and deploying them for real-world examples.Experience with ML and deep learning.Experience leveraging a variety of services to act as data sources such as Azure Data Lake, Azure Synapse Analytics, Azure SQL, etc