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19 часов назад

Senior Machine Learning Engineer (AI)

146 000 - 180 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Machine Learning Engineer (AI/MedTech): Designing, deploying, and monitoring machine learning algorithms to extract clinical findings from structured and unstructured data with an accent on NLP, computer vision, and multi-modal document understanding. Focus on building RAG-based Generative AI applications and scalable production ML systems using AWS and Transformer-based architectures.

Location: Remote (Must reside in the United States)

Salary: $146,000 – $180,000 per year

Company

hirify.global provides AI-driven solutions to automate and optimize clinical data extraction and prediction for healthcare providers.

What you will do

  • Design, deploy, and monitor ML algorithms to extract and predict clinical findings from structured and unstructured data sources.
  • Evaluate state-of-the-art deep learning approaches, such as Transformers, for embedding, retrieval, classification, and generative use cases.
  • Build and maintain reusable codebases for data preprocessing, model training, evaluation, and deployment.
  • Develop multi-modal document understanding systems incorporating segmentation and classification to enrich metadata for retrieval workflows.
  • Work cross-functionally with product managers, clinicians, and technical leadership to build scalable production ML systems.
  • Provide technical guidance, mentorship, and onboarding support to junior engineers and interns.

Requirements

  • Master’s degree in Computer Science, AI, ML, Mathematics, or a closely related field.
  • 3+ years of professional experience as an ML engineer performing software platform development.
  • Proven experience with the end-to-end machine learning lifecycle within an Agile environment.
  • Expertise in developing NLP and computer vision models using PyTorch, TensorFlow, Scikit-Learn, Keras, Spacy, and Hugging Face.
  • Proficiency in Python (Pandas, Numpy), SQL, Docker, and Linux for scalable processing.
  • Experience with AWS services (S3, Athena, EC2, Lambda, SageMaker, CloudWatch, Bedrock) and building RAG-based Generative AI applications using LangChain or LlamaIndex.
  • Must reside anywhere in the United States

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