Factored
AI, ML, Data
MachineLearningEngineer(LLMsKnowledgeGraphs)
Neural analysis suggests this role is
optimal for Senior candidates.
“Machine Learning Engineer (LLMs Knowledge Graphs) at Factored. Skills: Knowledge Graphs, LLMs, Retrieval-Augmented Generation (RAG), Python, Neo4j, Cypher, SPARQL. Drive the development of AI products for our clients. Participate in the development of a top-notch AI”
What You'll Achieve.
deliver actionable insights; building and scaling world-class AI, ML, and Data teams; empower brilliant humans, unleash their potential, and amplify their impact in the world; create new opportunities for us; take this rocketship to new heights; creating OUR COMPANY TOGETHER; changing the way the world perceives the quality of technical talent in Latin America; accelerating careers; investing in hundreds (and hopefully thousands) of highly talented data science engineers and data analysts; making them fall in love with their work, their learning, and their mission
Industry & Context.
relationship strength analysis; network traversal logic
What They're Looking For.
Must Have
5+ years of hands-on experience developing and deploying machine learning models in production environments, Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related fields, Hands-on experience with knowledge graph technologies, specifically property graph (Neo4j) or RDF frameworks, Proficiency in querying systems using Cypher and/or SPARQL, Hands-on experience with AWS Neptune, GraphDB, or Memgraph for building production-grade Knowledge Graphs skills in ontology design and modeling complex entity relationships, Expert-level Python development skills for building enterprise-grade applications, Experience building Retrieval-Augmented Generation (GraphRAG) and AI-driven recommendation systems, knowledge of embeddings, vector databases, and semantic search techniques, Hands-on experience with major cloud platforms such as AWS, Azure, or GCP, Experience working with FastAPI/Flask, Ability to integrate relational databases and diverse external data sources into a unified graph, Excellent verbal and written communication skills in English
Nice to Have
Knowledge Graphs, LLMs, property graph (Neo4j), RDF-based models, Cypher, SPARQL, Retrieval-Augmented Generation (RAG), FastAPI, relationship strength analysis, network traversal logic, AWS Neptune, GraphDB, Memgraph, ontology design, modeling complex entity relationships, embeddings, vector databases, semantic search techniques, AWS, Azure, GCP, FastAPI/Flask, relational databases, external data sources
What You'll Do.
Drive the development of AI products for our clients
Participate in the development of a top-notch AI
Design and implement knowledge graph architectures using property graph (Neo4j) or RDF-based models
Transform structured and semi-structured data into optimized graph structures and query them using Cypher or SPARQL
Integrate knowledge graphs with LLMs using Retrieval-Augmented Generation (RAG) architectures to deliver actionable insights
Build robust APIs (FastAPI) and application services to implement relationship strength analysis and network traversal logic
How You'll Work.
Team & Collaboration
part of a community that values learning, ownership, and authenticity; collaborative; work with other passionate, smart people; collaborative
Communication Scope
Excellent verbal and written communication skills in English
Full Job Description
Fully remote | Complete engagement job Founded in Palo Alto by Dr. Andrew Ng and Israel Niezen, Factored helps U. S. companies build and scale world-class AI, ML, and Data teams, powered by the top 1% of LATAM talent, with a defining purpose: To empower brilliant humans, unleash their potential, and amplify their impact in the world. At Factored, you’ll be part of a community that values learning, ownership, and authenticity, where your growth is personal and your ideas matter. We’re transparent, curious, and collaborative. We strive for excellence, celebrate diversity, encourage curiosity, and build an environment where you can truly thrive. We are looking for a Machine Learning Engineer to join our team, with a specialized focus on Knowledge Graphs and LLMs. You will drive the development of AI products for our clients and participate in the development of a top-notch AI. At Factored we are building a company that we all hold as our own, every single one of us. We need your skills to help take this rocketship to new heights and help create new opportunities for us. In return, you will be rewarded with an amazing team that supports you, rich culture, shared success and the flexibility to work– from the comfort of your home. Functional Responsibilities: Design and implement knowledge graph architectures using property graph (Neo4j)or RDF-based models. Transform structured and semi-structured data into optimized graph structures and query them using Cypher or SPARQL. Integrate knowledge graphs with LLMs using Retrieval-Augmented Generation (RAG) architectures to deliver actionable insights. Build robust APIs (FastAPI) and application services to implement relationship strength analysis and network traversal logic. Qualifications: 5+ years of hands-on experience developing and deploying machine learning models in production environments. Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related fields Hands-on experience with knowledge
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