AI Operations - United States, Remote

Only for registered members United States, Remote

12 hours ago

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Required Qualifications · Experience: 3+ years of experience in MLOps, DevOps, or Software Engineering with a focus on machine learning systems. · Programming: Expert proficiency in Python and solid experience with writing clean, production-level code. · Cloud & Containerization: ...
Job description

Required Qualifications

  • Experience: 3+ years of experience in MLOps, DevOps, or Software Engineering with a focus on machine learning systems.
  • Programming: Expert proficiency in Python and solid experience with writing clean, production-level code.
  • Cloud & Containerization: Strong experience with a major cloud provider (AWS, GCP, or Azure) and expert knowledge of containerization technologies (Docker, Kubernetes).
  • MLOps Tools: Hands-on experience with MLOps frameworks and platforms (e.g., MLflow, Kubeflow, Sagemaker, TFX, or similar).
  • Technical Foundation: Deep understanding of the machine learning lifecycle, from data prep and model training to deployment and monitoring.

Preferred Qualifications

  • Experience working in the HealthTech or FinTech industries, particularly with highly regulated data.
  • Experience designing and managing data pipelines (ETL/ELT) for ML features.
  • Knowledge of data governance, security principles, and compliance requirements in healthcare (e.g., HIPAA).
  • Experience optimizing models for latency and throughput (e.g., ONNX, model quantization).
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.


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