Staff Data Scientist

Summary

Join our dynamic and global Digital Product Engineering company as we scale! We're seeking a skilled professional proficient in Python, AI, machine learning, and natural language processing to contribute to our innovative projects. You will leverage and fine-tune Foundation Models, work with LLM APIs and frameworks, and build and query knowledge bases. Experience with multi-agent systems, unstructured data handling, and RAG implementation is crucial. This role demands expertise in text embeddings, knowledge graphs, and ontology design. We offer a non-hierarchical work culture and the opportunity to work with a global team of experts.

Requirements

Must have Skills: Python for Data Science (Capable)

Responsibilities

• Proficiency in Python and all associated DS libraries and frameworks
• Strong knowledge in AI, machine learning, and natural language processing
• Experience with leveraging, training and fine-tuning Foundation Models, including multimodal inputs and outputs
• Strong experience working with key LLM models APIs (e.g. OpenAI, Anthropic) and LLM Frameworks (e.g. LangChain, LlamaIndex)
• Experience with multi-agent frameworks/systems and an understanding of multi-agent systems and their applications in complex problem-solving scenarios
• Experience with unstructured.io or similar libraries for handling various document formats and extracting structured information from unstructured data
• Expertise in using Llama Index for building and querying knowledge bases, including its data connectors, indexing strategies, and query engines
• Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets
• Proficiency in generating and working with text embeddings using models like BERT, GPT, or domain-specific embedding models
• Understanding of embedding spaces and their applications in semantic search and information retrieval
• Experience in constructing and querying knowledge graphs, including technologies like Neo4j or RDF triplestores
• Understanding of ontology design and graph-based reasoning
• Experience with RAG concepts and fundamentals (vectorDBs, semantic search, etc.)
• Expertise in implementing RAG systems that combine knowledge bases with generative AI models

Preferred Qualifications

Good To Have Skills: Machine Learning on AWS (Capable), Generative AI Fundamentals (Capable)