Staff Engineer - Data Scientist
Staff Engineer - Data Scientist
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1 Vacancy
Job Description
- 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 finetuning 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 multiagent frameworks/systems and an understanding of multiagent systems and their applications in complex problemsolving 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 domainspecific 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 graphbased reasoning.
- Experience with RAG concepts and fundamentals (vectorDBs semantic search etc.).
- Expertise in implementing RAG systems that combine knowledge bases with generative AI models.
- 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 finetuning 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 multiagent frameworks/systems and an understanding of multiagent systems and their applications in complex problemsolving 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 domainspecific 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 graphbased reasoning.
- Experience with RAG concepts and fundamentals (vectorDBs semantic search etc.).
- Expertise in implementing RAG systems that combine knowledge bases with generative AI models.
Qualifications :
Must have Skills: Python for Data Science (Capable).
Good To Have Skills: Machine Learning on AWS (Capable) Generative AI Fundamentals (Capable).
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
Company Industry
Department / Functional Area
Engineering
Key Skills
- Laboratory Experience
- Bioinformatics
- Biochemistry
- Utility Locating
- Assays
- Research Experience
- Next Generation Sequencing
- Sensors
- Signal Processing
- Matlab
- Research & Development
- Molecular Biology
