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ML engineer

Job in Shelby Township, Oceana County, Michigan, USA
Listing for: Agnos health
Full Time position
Listed on 2026-10-02
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Salary/Wage Range or Industry Benchmark: 90000 - 130000 USD Yearly USD 90000.00 130000.00 YEAR
Job Description & How to Apply Below
  • Design and develop machine learning models.
  • Design and develop chatbot applications utilizing LLMs and RAG techniques.
  • Develop and maintain pipelines for data preprocessing, model training, and evaluation.
  • Integrate chatbots with external data sources and APIs to enhance response accuracy and relevance.
  • Implement and test machine learning algorithms and systems.
  • Train and retrain systems as necessary.
  • Monitor and optimize chatbot performance, ensuring high accuracy and user satisfaction.
  • Extend existing ML libraries and frameworks.
Description
  • Design and develop machine learning models.
  • Design and develop chatbot applications utilizing LLMs and RAG techniques.
  • Develop and maintain pipelines for data preprocessing, model training, and evaluation.
  • Integrate chatbots with external data sources and APIs to enhance response accuracy and relevance.
  • Implement and test machine learning algorithms and systems.
  • Train and retrain systems as necessary.
  • Monitor and optimize chatbot performance, ensuring high accuracy and user satisfaction.
  • Extend existing ML libraries and frameworks.
Qualifications
  • Strong programming skills in Python, with experience in NLP libraries such as Hugging Face Transformers, NLTK, or Spa Cy.
  • Experience with Lang Chain for building, managing, and deploying LLM-based applications.
  • Familiarity with machine learning frameworks (e.g., Tensor Flow, PyTorch) and RAG techniques.
  • Experience with cloud platforms (e.g., AWS, Google Cloud) and deploying NLP models in production.
  • Excellent problem-solving skills and ability to work independently.
  • Strong communication skills and ability to collaborate with cross-functional teams.
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