The client, one of the Big Four accounting firms, needs to build AI solutions to enhance tax functions, including consolidation, reconciliation, and reporting processes, and to interpret unstructured tax documentation.
Requirements
- 6+ years of hands-on experience 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
