Machine Learning Engineer (AI Models)

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

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

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