Top 5 Learning and development consultant Jobs in Round Rock, Tx

Consultant Machine Learning & Knowledge Graph Engineer
Dell Technologies —Round Rock, TX
- $196,350 - $254,100 a year
- Full-time
- Azure
- Computer Science
- 11+ years
Machine Learning Engineer- Senior Consultant Level
Visa Technology and Operations LLC —Austin, TX
- $173,000 - $276,900 a year
- Full-time
- Computer Science
- Office
- Java
- Wellness program
- Health savings account
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Senior Manager, Learning Operations Managed Services
Deloitte —Austin, TX
- $171,600 - $338,300 a year
- Full-time
- Up to 50% travel
- Bachelor's degree
- Travel
Sales Learning + Enablement Consultant
ttcInnovations —Austin, TX
- Remote
- 8 years
- Senior level
- Communication skills
Quick Apply
Machine Learning Engineer - Sr. Consultant Level
Visa Technology and Operations LLC —Austin, TX
- $152,200 - $243,700 a year
- Full-time
- Hybrid work
- 11+ years
- Office
- Java
- Wellness program
- Health savings account
Quick Apply

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Consultant Machine Learning & Knowledge Graph Engineer

Dell Technologies -
Round Rock, TX

Apply Now

Job Details

Full-time
$196,350 - $254,100 a year

Qualifications

AI models
Containerization systems
Software engineering
Data Integration (Data management)
Enterprise software
OWL
Spark
Generative models
Public Cloud
AI platforms (beyond public GPTs)
Scalable systems
Computational framework
Enterprise software systems development
Production systems
Spark implementation
Machine intelligence
Model deployment
Airflow
Developing large-scale AI models
Natural language processing
Semantic Web
Linked data
Scalability
Model training
Kafka
Distributed computing
DevOps automation
Machine learning frameworks
Python
Generative AI

Full Job Description

Consultant Machine Learning & Knowledge Graph Engineer

Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What’s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.

Join us to do the best work of your career and make a profound impact as Consultant ML & KG Engineer on our growing and dynamic team in Round Rock, Texas.

What you’ll achieve

Lead the architecture, development, and deployment of enterprise scale ML solutions across Dell’s global ecosystem. Drive MLOps standards, build production grade ML services, and collaborate across engineering, product, and platform teams to enable AI at scale.scale ML solutions across Dell’s global ecosystem. As a Consultant Machine Learning & Knowledge Graph Engineer, you will play a pivotal role in advancing our AI and ML capabilities and creating Enterprise wide KG marketplace and Ontology layouts. You will be responsible for designing, building, and operationalizing machine learning systems, including next generation agentic and GenAI powered applications. You will drive and execute our broader AI/ML strategy. You will also be responsible to architect production-grade Knowledge Graph platforms, design semantic data layers that power Agentic AI, and drive the convergence of graph technologies with large-scale data engineering ecosystems. This role demands a rare combination of deep graph expertise, distributed systems mastery, and strategic business influence. You will work deeply across data pipelines, model development, optimization, and production deployment to deliver scalable, high performance ML solutions.

You will

Lead the end‑to‑end Agentic lifecycle—from conceptualizing, prototyping and driving delivery with engineering teams and design and build autonomous AI agents, ML systems, pipelines, and inference services.
Work with business leads to imagine agentic products and drive accelerated delivery through Spec Driven Development and implement MLOps practices including CI/CD, model monitoring, drift detection, and automated retraining.
Collaborate with Data Engineering and Platform teams to ensure data, infrastructure, and governance readiness along with providing technical leadership while integrating emerging AI/ML technologies and managing production incidents.
Design, build, and scale enterprise Knowledge Graph platforms using Neo4j and/or Stardog, establishing graph-native data models that enable entity resolution, relationship discovery, and semantic reasoning across business domains.
Define and govern enterprise ontologies (OWL 2), taxonomies, and semantic schemas that provide a unified, machine-interpretable view of Dell's data assets, ensuring consistency, reusability, and inferencing capability
Architect graph-backed Retrieval-Augmented Generation (RAG) systems, tool-calling interfaces, and dynamic prompt-to-graph query pipelines that fuel autonomous AI agent decision-making with deterministic, explainable knowledge

Take the First Step Towards Your Dream Career

Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

Essential Requirements:

12+ years of experience delivering complex AI/ML or applied science systems, including deep learning, machine learning, and LLM‑based solutions.
Advanced Python expertise with strong knowledge of ETL pipelines (Airflow preferred) and modern data‑warehousing concepts.
Graph Architecture Mastery: Extensive hands-on experience designing and operating production-grade graph systems using Neo4j (Cypher, GDS, APOC, AuraDB, Causal Clustering) and/or Stardog (SPARQL, OWL 2 reasoning, Virtual Graphs, SHACL validation)
Distributed Systems and Data Scale: Expert-level command over PySpark, Kafka, data lakehouses (Apache Iceberg, Delta Lake), and enterprise orchestration (Airflow), with proven ability to integrate these with graph ecosystems
Strong software engineering background with hands-on experience in AI frameworks, cloud environments, and domains such as ML, NLP, IR, recommender systems, and LLMs and proven experience with Docker, Kubernetes, and major cloud platforms (AWS/GCP/Azure), including training, fine‑tuning, and applying LLMs for agentic AI applications.

Desirable Requirements

PhD or Master's degree in Technology, Computer Science, Machine Learning or equivalent quantitative field
Familiarity leveraging graph-based techniques, semantic search, hybrid search systems, and implementing solutions that combine traditional IR methods with machine learning models to enhance search relevancy accuracy and efficiency. Familiarity with large scale data handling when dealing with telemetry systems.

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learning and development consultant jobs in round rock, tx

Consultant Machine Learning & Knowledge Graph Engineer

Machine Learning Engineer- Senior Consultant Level

Senior Manager, Learning Operations Managed Services

Sales Learning + Enablement Consultant

Machine Learning Engineer - Sr. Consultant Level

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