Consultant Machine Learning Engineer & AI Product Lead
Dell Technologies
Quick summary
Market check
How this pay compares to similar roles
This role pays more than 88% of similar roles. Most pay $202,800–$254,750 — the blue band above. At the midpoint, this role pays about $270k versus about $229k for comparable roles.
Based on 240 similar postings.
Employer
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 103 open roles on FindRole.
Listed pay typically runs $179,000–$240,790 across 92 roles with salary data.
Most-posted roles
At a glance
The Sr. Consultant Machine Learning & Knowledge Graph Engineer joins the Data Science team to lead the architecture, development, and deployment of enterprise-scale ML solutions. This role involves building production-grade Knowledge Graph platforms, designing semantic data layers for Agentic AI, and defining enterprise ontologies. Key responsibilities include architecting graph-backed Retrieval-Augmented Generation systems, managing data virtualization across SQL and NoSQL sources, and operationalizing advanced graph algorithms like community detection and node embeddings. The candidate will utilize technologies including Neo4j, Stardog, PySpark, Kafka, and Apache Iceberg while employing Python, SQL, Cypher, and SPARQL. The work focuses on solving complex business problems by creating a unified, machine-interpretable view of data assets through graph-native data models, semantic reasoning, and high-throughput ingestion pipelines to enable deterministic AI decision-making.
Skills
What you'll do
What we're looking for
More like this
Dell Technologies
Accenture
Apple Inc
Apple Inc
Apple Inc
Apple Inc