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Machine Learning Engineer (AI Models)

Posted about 9 hours ago

OfficeBoston, , United States

Job Description

Design, develop, and deploy machine learning and AI models that solve business problems, from data preparation and model training to evaluation, optimization, and production integration. Key Performance Indicators: • Deliver high-impact ML models in production • Improve model accuracy and reduce error rates • Build end-to-end pipelines for training and deployment • Optimize inference latency and resource usage • Maintain robust monitoring and model governance Qualifications: • 10+ years building machine learning systems • Strong experience with Python and ML frameworks • Proven record deploying AI models to production • Expertise in data preprocessing and feature engineering • Experience with MLOps practices and monitoring

Qualifications

Required Qualifications
  • 10+ years building machine learning systems
  • Strong experience with Python and ML frameworks
  • Proven record deploying AI models to production
  • Expertise in data preprocessing and feature engineering
  • Experience with MLOps practices and monitoring
  • Python
  • PyTorch or TensorFlow
  • Scikit-learn
  • SQL
  • Feature engineering
  • Model evaluation
  • MLOps (MLflow, Kubeflow)
  • Docker and Kubernetes
  • Cloud platforms (AWS/GCP/Azure)
  • CI/CD for ML
Job details
Workplace
Office
Location
Boston, , United States
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Jobs for Humanity
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Jobs for Humanity paves the way to a fairer future for all by connecting historically underrepresented talent to welcoming employers.

Key team members

Jolie den Boer

Jolie den Boer

Mark Mansour

Mark Mansour

Roy Baladi

Roy Baladi

Jacek Koster

Jacek Koster

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