Consultant Machine Learning & Knowledge Graph Engineer

Dell
United States
Workplace: OnsiteFull timeUSD 196,350 - 254,100Function: Data Science & Machine LearningExperience: 12+ yearsEducation: mastersSkills: ["Cross-functional collaboration","Technical leadership","Strategic influence","Incident management"]

Design, build, and operationalize enterprise-scale machine learning and agentic GenAI applications across Dell’s global ecosystem. Lead end-to-end agent lifecycles, implement MLOps with CI/CD, monitoring, drift detection, and automated retraining, and partner with engineering, product, and platform teams. Architect production Knowledge Graph platforms (Neo4j/Stardog), define ontologies and semantic schemas, and build graph-backed RAG and prompt-to-graph query pipelines that enable deterministic, explainable agent decision-making.

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FursaFursa
Dell
Dell
1 month ago

Consultant Machine Learning & Knowledge Graph Engineer

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Last checked: 17 minutes agoStatus: Live

Job Summary

Design, build, and operationalize enterprise-scale machine learning and agentic GenAI applications across Dell’s global ecosystem. Lead end-to-end agent lifecycles, implement MLOps with CI/CD, monitoring, drift detection, and automated retraining, and partner with engineering, product, and platform teams. Architect production Knowledge Graph platforms (Neo4j/Stardog), define ontologies and semantic schemas, and build graph-backed RAG and prompt-to-graph query pipelines that enable deterministic, explainable agent decision-making.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Lead end-to-end agentic lifecycles, from conceptualizing and prototyping through delivery of autonomous AI agents, ML systems, pipelines, and inference services.
  • •Collaborate with business leads to accelerate agentic product delivery and implement MLOps practices (CI/CD, monitoring, drift detection, automated retraining).
  • •Partner with Data Engineering and Platform teams to ensure data, infrastructure, and governance readiness while integrating emerging AI/ML technologies and managing production incidents.
  • •Design, build, and scale enterprise Knowledge Graph platforms using Neo4j and/or Stardog, including graph-native data models for entity resolution and semantic reasoning.
  • •Define and govern enterprise ontologies, taxonomies, and semantic schemas, and architect graph-backed RAG systems with tool-calling interfaces and prompt-to-graph query pipelines.

Pay and Benefits

Salary: USD 196,350 - 254,100

Key Requirements

  • •12+ years delivering complex AI/ML or applied science systems, including deep learning, machine learning, and LLM-based solutions.
  • •Advanced Python with strong ETL pipeline experience (Airflow preferred) and modern data-warehousing concepts.
  • •Hands-on production graph system experience with Neo4j (Cypher, GDS, APOC, AuraDB, Causal Clustering) and/or Stardog (SPARQL, OWL 2 reasoning, Virtual Graphs, SHACL validation).
  • •Expert distributed systems and large-scale data experience with PySpark, Kafka, data lakehouses (Apache Iceberg, Delta Lake), and enterprise orchestration (Airflow).
  • •Strong software engineering background with AI frameworks, cloud platforms (AWS/GCP/Azure), and container/orchestration tools (Docker, Kubernetes).
Experience:12+ yearsAI/MLLLMsGraph databasesDistributed systemsData engineeringAgentic AI
Education:Master's in Technology, Computer Science, Machine Learning (or equivalent quantitative field)
Skills:Cross-functional collaborationTechnical leadershipStrategic influenceIncident management
Tech Stack:PythonETLApache AirflowNeo4jCypherGDSAPOCAuraDBCausal ClusteringStardogSPARQLOWL 2Virtual GraphsSHACLPySparkKafkaApache IcebergDelta LakeDockerKubernetes

Company Brief

Dell
Designs, manufactures and sells computers, servers, storage, networking equipment, and related IT solutions and services for consumers, small businesses, and enterprises worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Round Rock, United States
Founded: 1984
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Glassdoor: 3.8
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