Machine Learning Engineer (AI Models)

Jobs for Humanity • Boston, MA

1d

About The Position

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.

Requirements

• 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

Responsibilities

• Design, develop, and deploy machine learning and AI models
• Data preparation
• Model training
• Model evaluation
• Model optimization
• Production integration
• Build end-to-end pipelines for training and deployment
• Optimize inference latency and resource usage
• Maintain robust monitoring and model governance

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed