Exadel is looking for an AI Engineer to help their client, a Big Four accounting firm, integrate AI solutions into their tax and financial processes, leveraging LLMs and deep learning to interpret data, automate tasks, and enhance efficiency.
Requirements
- 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
- Familiarity with Azure Cloud Computing Platform
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
- 6+ years of hands-on background in data science
- Competency in Docker, Kubernetes, CI/CD pipelines
- Practice in Deep learning, Computer Vision, CNN, RNN, LSTM
- Knowledge of Vector Databases (Milvus, Postgres, etc.), Database Technologies
- English level Intermediate