Machine Learning Engineer (AI Models)

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 Company Description Jobs for Humanity is partnering with UserTesting to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from all walks of life. Company Name: UserTesting