AI Data Scientist, Manager

If you are a technology visionary with a passion for transforming global tax business with digital technology, consider working with the US Tax Transformation technology team. This is an exciting opportunity to support global execution of Deloitte's tax strategy as we shift from "doing digital" to "being digital" by reimagining how we engage with our clients, deliver our services, operate our business, and create value. Work you'll do As a Deloitte Manager, AI Data Science Engineer, become a part of a cross-functional development team who is working with GenAI solutions for digital transformation across Enterprise Products. Additional responsibilities include: • Collaborate with engineers, data scientists, and business analysts to understand requirements, refine models, and integrate LLMs into AI solutions • Incorporate RLHF and advanced techniques for tax-specific AI outputs. • Embed generative AI solutions into consolidation, reconciliation, and reporting processes. • Leverage LLMs to interpret unstructured tax documentation. • Development and implementation of Deep learning algorithms for AI solutions • Stay updated with recent trends in GENAI and apply the latest research and techniques to projects • Preprocess raw data, including text normalization, tokenization, and other techniques, to make it suitable for use with NLP models • Setup and train large language models and other state-of-the-art neural networks • Conduct thorough testing and validation to ensure accuracy and reliability of model implementations • Perform statistical analysis of results and optimize model performance for various computational environments, including cloud and edge computing platforms • Explore and propose innovative AI use cases to enhance tax functions. • Partner with tax, finance, and IT teams to integrate AI workflows. • Collaborate with legal teams to meet regulatory standards for tax data. • Perform model audits to identify and mitigate risks. • Monitor and optimize generative models for performance and scalability. The Team Deloitte Tax LLP's Tax Transformation Office (TTO) is responsible for the design, development, and deployment of innovative, enterprise technology, tools, and standard processes to support the delivery of tax services. The TTO team focuses on enhancing Deloitte Tax LLP's ability to deliver comprehensive, value-added, and efficient tax services to our clients. It is a dynamic team with professionals of varying backgrounds from tax technical, technology development, change management, Six Sigma, and project management. The team consults and executes on a wide range of initiatives involving process and tool development and implementation including training development, engagement management, tool design, and implementation. Qualifications and Skills Required: • Ability to perform job responsibilities within a hybrid work model that requires US Tax professionals to co-locate in person 2 - 3 days per week. • Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve. • Bachelor's degree in computer science, Engineering, or a related field. • 5+ years of programming experience in Python, PyTorch, TensorFlow, and related libraries with demonstrated skills in Prompt Engineering techniques and various vector databases. • Evidenced understanding of object-oriented design patterns, concurrency/multithreading, and scalable AI and GenAI model deployment. • Proven, hands-on experience in developing, training, and fine-tuning LLMs and AI models. • Evidenced understanding and demonstrated experience in implementing techniques like CNN, RNN, GANs, RAG, Langchain, and Transformers. • One of the following active accreditations obtained: • • Licensed CPA in state of practice/primary office if eligible to sit for the CPA • If not CPA eligible: • • Licensed Attorney • Enrolled Agent • Technology Certifications: • • Alteryx Designer- Advanced Certification • ASQ - American Society for Quality - Software Quality Engineer • AWS Certified Solutions Architect • CBAP® - Certified Business Analysis Professional • Certified in Risk and Information Systems Controls (CRISC) • Certified Information Systems Security Professional (CISSP) • Certified SAFe® Advanced Scrum Master • Certified SAFe® Agile Software Engineer • Certified SAFe® Agilist • Certified SAFe® Architect • Certified SAFe® DevOps Practitioner • Certified SAFe® Lean Portfolio Manager • Certified SAFe® Practitioner • Certified SAFe® Product Owner / Product Manager • Certified SAFe® Scrum Master • Certified Scrum Developer (CSD) • Certified Scrum Product Owner (CSPO) • Certified Secure Software Lifecycle Professional (CSSLP) • Certified Secure Software Lifecycle Professional (CSSLP) - (ISC)2 • IASA's Certified IT Architect (CITA) (Level F or A) • ISTQB (International Software Testing Qualifications Board) • ITIL Certification • Java: Java EE Enterprise Architect 5+, Java SE 5+ Programmer, Java EE 5+ Web Component Develope • Lifecycle Management and Advanced Functional Testing Certifications (HP) • MCSD: Application Lifecycle Management Solutions Developer • MCSD: SharePoint • MCSD: Web Applications • Microsoft Azure • Microsoft Certified Solutions Developer (MCSD) • Microsoft Certified Solutions Expert (MCSE) • Microsoft MCSD Certification • Open Group Certified Architect (Open CA) • Open Group Certified IT Specialist (Open CITS) • Oracle Certified Professional • Professional Scrum Developer™ (PSD) • Professional Scrum Product Owner™(PSCPO) - SCRUM.org • Program Management Professional (PgMP) • Project Management Professional (PMP) • QAI Global Institute Certification • SEI - Software Engineering Institute Certification • Six Sigma (Green or Black Belt) • UI or UX Master Certification Preferred: • Proficiency in RegEx, Spacy, NLTK, and NLP techniques for text representation and semantic extraction. • Familiarity with Azure Cloud Computing Platform. • Experience with Docker, Kubernetes, CI/CD pipelines. • Experience with Deep learning, Computer Vision, CNN, RNN, LSTM. • Experience with Vector Databases (Milvus, Postgres, etc.), Database Technologies. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $103,320 to $235,170. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html