5 applied ml engineer jobs at 5 companies in Lucama, NC
1mo
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Senior Software Engineer Applied AI
Raleigh or United States
RemoteFull Time
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.
Python, AWS, LLMs, AI coding assistants
2w
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Machine Learning Engineer
Charlotte or Morrisville or Dallas or Alpharetta
OnsiteFull Time
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.
Python, Databricks, Azure, MLflow, Lakehouse Monitoring, Azure DevOps, MLOps, CI/CD
2w
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Manager, AI Engineering
Morrisville, North Carolina, United States
$200k-$250k/yr HybridFull Time
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.
Python, PyTorch, Hugging Face, vLLM, LangGraph, AutoGen, CrewAI, Git, CI/CD, Docker, Kubernetes
1w
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Senior Data Scientist
Cary, North Carolina, United States
HybridFull Time
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.
Python, R, SQL, Git, PowerBI, AWS, GCP, Azure, LLM, RAG, vector databases
5h
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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