Platform & Assets Senior Data Scientist

Your 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
• 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

Our 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
• Familiarity with Azure Cloud Computing Platform
• 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: B2