3 nlp engineer jobs at 3 companies in Arkansas
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Senior Machine Learning Engineer
United States or Alabama or Arkansas or Delaware or Florida or Georgia or Iowa or Illinois or Indiana or Kansas or Kentucky or Louisiana or Massachusetts or Maine or Maryland or Michigan or Minnesota or Missouri or Mississippi or Montana or North Carolina or Nebraska or New Hampshire or Ohio or Oklahoma or Pennsylvania or Rhode Island or South Carolina or Tennessee or Texas or Virginia or Wisconsin or West Virginia
RemoteFull Time
Bachelor's in a data-centric field, strong ML experience deploying models to production, Python and scikit-learn proficiency, experience with cloud ML pipelines, NLP and Spark a plus.
Python, scikit-learn, TensorFlow, PyTorch, Hugging Face, Spark, AWS, GCP, Azure
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(USA) Senior Manager, Data Science (AI Technical Lead) – Next-Gen Customer Engagement & Returns
Bentonville, Arkansas, United States
$110k-$220k/yr OnsiteFull Time
3+ YOEAdvanced AI/ML expertise with Python, PySpark and SQL; causal inference, NLP/LLMs, MLOps, leadership and software engineering rigor. MS/PhD preferred or equivalent experience (options include BS+5yrs, MS+3yrs, or 7yrs).
Python, PySpark, SQL, Git, pytest, Docker, Kubernetes, GCP, AWS, scikit learn, tensorflow, torch, Spark
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Knowledge Modeler / Ontologist Manager
Seattle or Milwaukee or Dallas or Columbus or Kirkland or Cincinnati or New York City or Cleveland or Oklahoma City or Austin or Albany or Chicago or St. Petersburg or Hartford or Pittsburgh or St. Louis or Miami or Sacramento or Raleigh or Minneapolis or Mountain View or Scottsdale or San Francisco or Morristown or Denver or Boston or Philadelphia or Des Moines or Overland Park or Los Angeles or Charlotte or Walnut Creek or Carmel or Houston or Arlington or Atlanta or Redmond or Bentonville or Beaverton or Nashville or Detroit or San Diego
$80k-$294k/yr HybridFull Time
5+ YOERequires 5+ years of ontology engineering or knowledge modeling experience, a bachelor's degree, and expertise in semantic web standards, knowledge graphs, data integration, and stakeholder collaboration.
OWL 2, RDFS, SKOS, RDF, SHACL, SPARQL, W3C, GraphDB, Stardog, Neo4j, Protégé, Ontotext, R2RML, RML, BFO, schema.org, DOLCE, NLP, Agile