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, Lead 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
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.
Bachelor's degree in computer science or a relevant discipline.
3+ years of experience showcasing programming skills in Python, PyTorch, TensorFlow, and related libraries.
Demonstrated understanding of object-oriented design patterns, concurrency/multithreading, and scalable AI and GenAI model deployment
Proficiency in RegEx, Spacy, NLTK, and NLP techniques for text representation and semantic extraction.
Hands-on experience in developing, training, and fine-tuning LLMs and AI models.
Proven expertise in Prompt Engineering techniques and various vector databases.
Ability to travel up to 20%, on average, based on the work you do and the clients and industries/sectors you serve.
One of the following active accreditations obtained, in process, or willing and able to obtain:
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:
Familiarity with Azure Cloud Computing Platform.
Practical understanding and experience in implementing techniques like CNN, RNN, GANs, RAG, Langchain, and Transformers.
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.ht
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
