Data Science Engineer

2 weeks ago


Pasco, Washington, United States Emonics LLC Full time

-
Must have Skills : Python for Data Science (Strong), Prompt Engineering, knowledge graph, Good To Have Skills : AWS,

Job Description : Overall 7-10 years of experience in Data Science with LLM experience as must - 2+ years of experience developing and experimenting with LLMs

- 6+years of experience developing AI/Client technologies within large and business critical applications

- 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 LlamaIndex 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.



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