The Big Four accounting firm is looking to leverage AI solutions to enhance tax functions, including consolidation, reconciliation, and reporting processes, and to interpret unstructured tax documentation.
Requirements
- 6+ years of hands-on background in data science
- Solid understanding of object-oriented design patterns, concurrency/multithreading, and scalable AI and GenAI model deployment
- Strong programming skills in Python, PyTorch, TensorFlow, and related libraries
- 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
- Practical understanding and experience in implementing techniques like CNN, RNN, GANs, RAG, Langchain, and Transformers
- Expertise in Prompt Engineering techniques and various vector databases
Responsibilities
- 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
Other
- Intermediate English level
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- International projects
- In-office, hybrid, or remote flexibility
