5 nlp engineer jobs at 4 companies in Carleton, MI
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AI Engineer
Ann Arbor, Michigan, United States
$150k-$250k/yrOnsiteFull Time
Max AI: Autonomous AI agents for healthcare billing and revenue management.
6+ YOE6+ years ML/AI/data science in production, expertise in NLP and LLMs, experience with TensorFlow/PyTorch/scikit-learn/transformers/Hugging Face, Python; AWS experience preferred.
Max AI: Autonomous AI agents for healthcare billing and revenue management.
6+ YOE6+ years ML/AI/data science in production; expertise in NLP and LLMs including fine-tuning; experience with TensorFlow, PyTorch, scikit-learn, transformers and Python; strong communication.
Tata Consultancy ServicesNational Stock Exchange of India: TCS: Global provider of IT services, consulting, and business solutions.
6+ YOE3–8+ years Conversational AI experience with Cognigy.AI and NICE CXone, strong NLP/NLU and conversational design, JavaScript/Node.js/Python, REST APIs, webhooks, JSON/XML, and integrations with CRM/enterprise systems.
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/yrHybridFull Time
AccentureNYSE: ACN: Global provider of management consulting and technology services.
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.
Ford Motor CompanyNYSE: F: Ford manufactures, sells, and services vehicles and mobility solutions.
8+ YOEBachelor's in CS/Engineering,8+ years product management experience in data/analytics/AI,strong GCP and big data platform experience,ability to set KPIs and engage technical and executive stakeholders.