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Ai Agent Machine Learning Engineer Jobs (NOW HIRING)

Role/Responsibilities: We are seeking a Machine Learning Engineer to join the High Frequency ... AI agent that helps monitor production problems and suggest actions. This role will also work with ...

Role/Responsibilities: We are seeking a Machine Learning Engineer to join the High Frequency ... AI agent that helps monitor production problems and suggest actions. This role will also work with ...

Machine Learning Engineer

Raleigh, NC ยท On-site

$75 - $85/hr

Key Responsibilities Agentic AI Development Design, build, and deploy production-scale multi-agent ... Machine Learning Engineering Build scalable AI and machine learning services deployed into ...

... 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 ...

Sr Machine Learning Engineer

Pittsburgh, PA ยท On-site

$101K - $139K/yr

Position Title: Sr Machine Learning Engineer Location: PA - Pittsburgh, TX - Dallas, OH - Cleveland ... Azure AI Search / AI Agent Service / Document Intelligence / Content Safety * Microsoft Agent ...

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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