Machine Learning Engineer (AI Models)
Jobs for Humanity
- Location
- Onsite (Boston, Massachusetts)
- Compensation
- $0 - $5k/mo
- Employment
- Full-time
- Level
- Senior Level
Posted 1 day ago
About the Role
Jobs for Humanity partners with UserTesting to build an inclusive employment ecosystem. This role involves designing, developing, and deploying machine learning and AI models to solve business problems.
Skills
Python
PyTorch
TensorFlow
Scikit-learn
SQL
Feature Engineering
Model Evaluation
MLOps
MLflow
Kubeflow
Docker
Kubernetes
AWS
GCP
Azure
CI/CD
Full job details
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
Company Name: UserTesting
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