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Ai Agent Machine Learning Engineer Jobs in Virginia

... agent architectures, and Azure AI services Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field 5+ years of experience in machine learning, AI ...

AI / Machine Learning Engineer

Mclean, VA ยท On-site

$100K - $137K/yr

/AI / Machine Learning Engineer# AI / Machine Learning EngineerCyberMedia TechnologiesMcLean, USFull ... MLOps & Agent Monitoring: Deploy models into cloud environments with a focus on LLM-specific ...

Machine Learning Engineer

Arlington, VA ยท On-site

$77K - $176K/yr

As an experienced AI and ML engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes ...

Machine Learning Engineer

Arlington, VA ยท On-site

$77K - $176K/yr

As an experienced AI and ML engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes ...

Machine Learning Engineer

Arlington, VA ยท On-site

$77K - $176K/yr

As an experienced AI and ML engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes ...

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Ai Agent Machine Learning Engineer information

What cities in Virginia are hiring for Ai Agent Machine Learning Engineer jobs?

Cities in Virginia with the most Ai Agent Machine Learning Engineer job openings:

Machine Learning Engineer - LLM / MLOps

Reston, VA โ€ข On-site

Full-time

Re-posted 26 days ago


Job description

Machine Learning Engineer – LLM / MLOps

Job Title: Machine Learning Engineer – LLM & MLOps
Location: Remote (U.S.)
Employment Type: Full-Time

About the Opportunity:
An exciting role for an ML Engineer to build scalable ML systems, deploy models, and work with cutting-edge AI technologies including LLMs and RAG architectures.

Key Responsibilities:

  • Build, train, and deploy ML models at scale
  • Develop reusable pipelines using Databricks and MLflow
  • Implement CI/CD workflows for ML deployment
  • Work with LLMs, RAG, and AI agent frameworks
  • Monitor model performance, drift, and retraining cycles

Required Skills:

  • 5+ years of ML Engineering experience
  • Strong Python programming and ML frameworks (PyTorch, TensorFlow, Scikit-learn)
  • Hands-on experience with Databricks, MLflow, PySpark
  • Experience with AWS (S3, SageMaker, Lambda, etc.)
  • Strong understanding of MLOps and model lifecycle

Preferred:

  • Experience building AI-driven applications (Streamlit, Gradio)
  • Strong system design and data pipeline experience
  • Business understanding of AI applications

Clearance: Public Trust (or eligible)

Hashtags:
#MLEngineer #MachineLearning #MLOps #LLM #AWS #Databricks #PySpark #AIEngineering #RemoteJobs #HiringNow