Machine Learning Engineer; AI Models

Overview

Jobs for Humanity is partnering with User Testing to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from all walks of life.

Company Name:
User Testing

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.

• 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

• 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

• 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 Tensor Flow
• Scikit-learn
• SQLFeature engineering
• Model evaluation
• MLOps (MLflow, Kubeflow)
• Docker and Kubernetes
• Cloud platforms (AWS/GCP/Azure)
• CI/CD for ML