Generative AI Data Scientist

About This Role

This role focuses on developing and deploying Generative AI (GenAI) solutions within a commercial business setting, utilizing advanced technologies like vector databases and RAG approaches to deliver actionable insights and solve business challenges.

Responsibilities

• Design, develop, and optimize RAG (Retrieval-Augmented Generation) models and knowledge graphs to solve complex business problems and enhance decision-making.
• Utilize vector databases and advanced indexing techniques for efficient storage and retrieval of information in conversational contexts.
• Fine-tune and optimize large language models (LLMs).
• Implement and experiment with cutting-edge NLP and similar techniques to enhance AI product capabilities and performance.
• Collaborate with cross-functional teams to integrate Generative AI models into production systems, ensuring scalability, reliability, and performance.
• Build and deliver compelling data visualizations, websites, apps, and outputs to effectively communicate findings to various audiences.
• Communicate findings and recommendations to stakeholders through clear and concise reports and presentations.
• Stay up-to-date with the latest advancements in Generative AI and data science technologies.

Requirements

• Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field
• Proven experience in NLP and developing/deploying Generative AI models in business settings
• Expertise in LLM prompt engineering and familiarity with LLM-based workflows and architectures
• Proficient in handling natural language data and developing text/number-based products using NLP techniques
• Strong programming skills in Python, R, or similar languages
• Experience with data manipulation and analysis using tools like SQL, Pandas, and NumPy
• Solid understanding of statistical analysis and data visualization techniques
• Experience with visualization tools such as Power BI and Tableau
• Experience with Databricks, MLflow, Azure, endpoint deployment, LangChain, LlamaIndex, Hugging Face or similar services

Qualifications

• Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
• Proven experience in NLP and in developing and deploying Generative AI models in business settings, expertise in LLM prompt engineering and familiarity with LLM-based workflows and architectures.

Nice to Have

• Knowledge of encoder-decoder architectures, diffusion models, and other relevant techniques
• Experience with natural language processing (NLP), computer vision, foundation model fine-tuning, and deep learning applications
• Familiarity with cloud platforms such as Azure
• Experience in project management and leading data science initiatives

Skills

* Required skills