Senior ML & Knowledge Graph Consultant

Dell Technologies

Round Rock (TX)

On-site

USD 180,000 - 240,000

Full time

11 days ago

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Job summary

Dell Technologies in Round Rock, Texas is seeking a Consultant Machine Learning & Knowledge Graph Engineer to lead architecture, development and deployment of enterprise-scale ML solutions across Dell’s global ecosystem.

You will drive MLOps standards, build production-grade ML services, and design production-grade Knowledge Graph platforms using Neo4j and Stardog, shaping data models and semantic schemas for scalable AI across the organization.

Qualifications

  • 12+ years of AI/ML or applied science experience.
  • Advanced Python with ETL and data warehousing concepts.
  • Graph architecture mastery with Neo4j and/or Stardog.
  • Distributed systems and data scale with PySpark, Kafka, and data lakehouses.
  • Docker, Kubernetes and major cloud platforms for LLMs and agentic AI.

Responsibilities

  • Lead architecture, development, and deployment of enterprise-scale ML solutions.
  • Drive MLOps standards, including CI/CD, monitoring, drift detection, and retraining.
  • Collaborate with Data Engineering and Platform teams for data readiness and governance.
  • Design, build, and scale enterprise Knowledge Graph platforms and semantic schemas.
  • Architect Retrieval-Augmented Generation systems and agentic AI pipelines.

Skills

Python
Airflow
Neo4j
Stardog
Cypher
GDS
AuraDB
Causal Clustering
PySpark
Kafka
Delta Lake
Iceberg
Docker
Kubernetes
AWS
GCP
Azure
LLMs
Agentic AI
NLP
IR

Education

PhD or Masters in CS/ML

Tools

Airflow
Neo4j
Stardog
Cypher

Job description

Dell Technologies in Round Rock, Texas is seeking a Consultant Machine Learning & Knowledge Graph Engineer to lead architecture, development and deployment of enterprise-scale ML solutions across Dell’s global ecosystem.

You will drive MLOps standards, build production-grade ML services, and design production-grade Knowledge Graph platforms using Neo4j and Stardog, shaping data models and semantic schemas for scalable AI across the organization.

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