This role pays less than
53%
of similar roles. Most pay
$200,712–$254,750
— the shaded band above.
At the midpoint, this role pays about
$225k
versus about
$228k
for comparable roles.
Based on 240 similar postings.
Employer
About Dell Technologies
Dell Technologies is a US-based technology company that designs and sells PCs, servers, storage and networking hardware, along with related software and IT services. Its product lines include the XPS, Latitude and Alienware PCs and the PowerEdge server and PowerStore storage families.
Dell Technologies currently has
73 open roles
on FindRole.
Listed pay typically runs
$164,025–$225,750
across 64 roles with salary data.
As a Consultant Machine Learning & Knowledge Graph Engineer, you will join a dynamic team to lead the architecture, development, and deployment of enterprise-scale machine learning solutions. You will be responsible for building production-grade ML services, designing semantic data layers, and creating an enterprise-wide knowledge graph marketplace with specific ontology layouts. Your daily work involves managing the end-to-end agentic lifecycle, including developing autonomous AI agents, inference services, and RAG systems to power decision-making. You will utilize a technical stack featuring Python, Airflow, PySpark, Kafka, and Docker/Kubernetes across AWS, GCP, or Azure environments. Key technologies include Neo4j for graph-native data models and Stardog for OWL 2 reasoning and SPARQL. You will solve complex problems involving entity resolution, relationship discovery, and the integration of graph technologies with large-scale data engineering ecosystems to provide a unified view of data assets.
LLM
Machine Learning
PyTorch
TensorFlow
JAX
Natural Language Processing
RAG
Information Retrieval
Distributed Systems
Inference Optimization
Deep Learning
Software Engineering
LLM
PyTorch
TensorFlow
JAX
RAG
Natural Language Processing
Information Retrieval
Distributed Systems
Inference Optimization
Machine Learning
Deep Learning