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Senior ML Engineer

Lyra HealthMental Health company
RemoteSenior
Data & AI

About the role

Design, train, and evaluate ML models for core product features.

  • Design, train, and evaluate ML models to drive core product features.
  • Key Responsibilities Design, train, fine-tune, and evaluate deep learning models.
  • Build, scale, and maintain ML pipelines using MLOps frameworks.
  • Collaborate with teams to integrate AI models into microservices.
  • Architect scalable data pipelines for preprocessing and ingestion.
  • Implement evaluation frameworks for model alignment and bias mitigation.
  • Requirements 6+ years of experience deploying ML/AI solutions.
  • Ability to write high-quality code in Python.
  • Experience building RAG-based solutions.
  • Experience setting up and maintaining vector databases.
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Tech stack

PythonTensorFlowscikit-learnHugging Face

Match insights

Tech:Python, TensorFlow, scikit-learn, Hugging Face
Level:Senior

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