3 applied ml engineer jobs at 3 companies in South Carolina
1mo
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Principal Applied AI Engineer, Finance
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/yr RemoteFull Time
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.
Python, LLMs, Docker, Kubernetes, AWS, CI/CD, APIs, MLOps, RAG, vector databases
3mo
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VP, Artificial Intelligence - Products & Services
Boston or Arizona or California or Colorado or Connecticut or District of Columbia or Florida or Georgia or Illinois or Indiana or Kansas or Massachusetts or Maryland or Maine or Michigan or Minnesota or Missouri or Mississippi or North Carolina or New Hampshire or New Jersey or New York or Ohio or Oregon or Pennsylvania or Rhode Island or South Carolina or Tennessee or Texas or Utah or Virginia or Vermont or Washington or Wisconsin or United States
$305k-$470k/yr RemoteFull Time
7+ YOE3+ Mgmt7+ years applied ML/AI experience with 3+ years senior technical leadership; deep expertise in generative AI, LLMs, agentic systems; experience delivering AI products and building teams; strong communication skills.
LangChain, LlamaIndex, AutoGen, Python, SQL, AWS SageMaker, GCP Vertex AI, Azure ML
6d
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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
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.
AI, machine learning, APIs, MCP