Keylent
Principal / Lead AI ML Engineer Knowledge Graphs & GenAI - Onsite in Dallas TX
Dallas, Texas, USA · Principal · full-time, third party
Sponsorship not specifiedDetected 79 days ago
PythonDistributed SystemsVector DatabasesAWSGCPAzureCloud PlatformsCI/CDDatadogMachine LearningData EngineeringNLPLLMsRAGAgentic AILLMOpsMLOpsLangGraphDetection Engineering
About the role
- Job Title - Principal / Lead AI ML Engineer Knowledge Graphs & GenAI Location - Onsite in Dallas, TX ________________________________________ Experience Required 14+ years of hands on experience in AI/ML engineering, with strong depth in knowledge graphs, unstructured data processing, and generative AI systems. ________________________________________ Role
- Summary We are seeking a highly experienced AI/ML Engineer with a strong foundation in knowledge graph engineering and generative AI to design, build, and scale intelligent data pipelines that transform large scale unstructured data into enterprise grade Knowledge Graphs. The ideal candidate will have deep experience in ontology modeling, entity resolution,
Responsibilities
- Anomaly Detection & Analytics Develop anomaly detection systems on top of knowledge graph data at scale.
- o Semantic inconsistencies o Behavioral anomalies o Data quality and relationship drift Data & ML Engineering Build robust data pipelines that ingest, process, enrich, and publish knowledge graph data.
Skills
- o Model development o Training and tuning o Inference and deployment ________________________________________ Technical Skills &
- o LangChain, LangGraph o LlamaIndex o OpenAI / Azure OpenAI o Vector databases such as Pinecone and
- FAISS MLOps & LLMOps Strong experience in MLOps and LLMOps, including:
- Cloud & Scalability
Benefits
- o Automated data gap identification o Knowledge base enrichment and validation o Continuous learning and self improving graph pipelines Build workflows that combine LLM reasoning with graph traversal and inference.
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