9 applied ml engineer jobs at 9 companies in Graham, NC
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Applied AI Engineer, Founding Team
Albany or Arlington or Atlanta or Austin or Beaverton or Bentonville or Boston or Carmel or Charlotte or Chicago or Cincinnati or Cleveland or Columbus or Culver City or Denver or Des Moines or Detroit or Hartford or Houston or Irving or Kirkland or Miami or Milwaukee or Minneapolis or Morristown or Mountain View or Nashville or New York City or Oklahoma City or Overland Park or Philadelphia or Pittsburgh or Raleigh or Redmond or Sacramento or San Diego or San Francisco or Scottsdale or Seattle or St. Louis or St. Petersburg or Walnut Creek or United States
$63k-$219k/yrOnsiteFull Time
AccentureNYSE: ACN: Global professional services firm providing consulting and technology solutions.
5+ YOERequires 5+ years in software engineering, AI/ML, or enterprise technology; experience with retrieval systems, agentic AI, MCP, evaluation frameworks, and a bachelor's degree or equivalent.
Lincoln FinancialNew York Stock Exchange: LNC: Provides life insurance, annuities, and retirement planning services.
5+ YOE5+ years ML/AI engineering experience, strong Python, experience productionizing AI on cloud (AWS), familiarity with Databricks, MLflow, SQL and PySpark, SageMaker Studio/AgentCore a plus, bachelor's degree or equivalent experience.
Menlo Park or Boston or Indianapolis or Durham or Washington or Missouri or Rhode Island or Maine or New York or Florida or North Carolina or Massachusetts or Illinois or Tennessee or Pennsylvania or Mississippi or New Jersey or Maryland or Michigan or Vermont or Minnesota or West Virginia or Louisiana or California or Ohio or Connecticut or South Carolina or Georgia or Delaware or Wisconsin or Virginia or Kentucky or Indiana
$194k-$341k/yrRemoteFull Time
Genesys: Provides AI-powered cloud platform for customer and employee experiences.
8+ YOE8+ years building production AI/ML systems with Python, LLMs, MLOps and cloud (preferably AWS); expertise in time-series forecasting, predictive modeling, and agentic/Generative AI; strong software engineering and CI/CD experience.
AMC Health: Provides remote patient monitoring and virtual care technology.
7+ YOE7+ years building production backend systems, strong Python skills, distributed cloud experience, hands-on LLM/generative AI experience, ML lifecycle proficiency, and disciplined data/security practices.
Peter MillarSIX Swiss Exchange: CFR: Designs and sells luxury lifestyle apparel and performance sportswear.
8+ YOE2+ Mgmt8+ years in ML/AI engineering with 2+ years leading engineers, hands-on Microsoft Foundry/Azure AI experience, production generative-AI delivery, MLOps, governance, and Python proficiency.
Microsoft Foundry (Azure AI Foundry), Azure AI, Azure OpenAI, Microsoft Fabric, OneLake, OpenAI, Anthropic, Meta, Python
CRC Group: Wholesale and specialty insurance distributor and underwriting services provider.
5+ YOEBachelor's degree with 5+ years relevant experience (6–10 preferred), 2+ years applied ML engineering, strong Python and ML framework skills, Databricks/Azure experience, MLOps and CI/CD familiarity, strong communication.
LenovoHKSE: 992: Manufactures personal computers, mobile devices, and server infrastructure.
6+ YOE2+ MgmtPeople manager with 2+ years managing 3+ direct reports, 6+ years in ML/applied AI, strong LLM experience, Master's in CS/applied math/physics, Python/PyTorch/Hugging Face proficiency, RAG and deployment experience.
Q2NYSE: QTWO: Develops digital banking and lending platforms for financial institutions.
8+ YOEAdvanced applied ML experience with production deployment; strong Python/R/SQL skills; 6–8+ years data science experience; LLM, prompt engineering, and RAG experience; strong communication and leadership.
Senior Product Manager, AI & Data Science Products
Seattle or Richmond or Austin or North Charleston or Philadelphia or San Francisco or Denver or Miami or Atlanta or Chicago or Augusta or Boston or Las Vegas or Trenton or New York or Raleigh or Portland
RemoteFull Time
Crunchbase: A platform providing comprehensive data and intelligence on companies.
3+ YOERequires 3+ years of product management or comparable experience, customer-facing AI or data product ownership, applied AI/ML knowledge, data science and engineering collaboration, experimentation, analytics, and quality evaluation skills.