Machine Learning Engineer (AI Models)

Jobs for Humanity; Boston (MA); On-site; USD 120,000 - 150,000; Full time

Job summary

Jobs for Humanity is partnering with UserTesting to find a Machine Learning Engineer in Boston, MA. In this role, you will design, develop, and deploy robust machine learning models and AI solutions to solve business issues.

The ideal candidate will have over 10 years of experience in building machine learning systems, a strong background in Python and ML frameworks, as well as expertise in model deployment and MLOps practices. This position ensures collaboration and innovation in a diverse work environment.

Qualifications

• 10+ years building machine learning systems.
• Strong experience with Python and ML frameworks.
• Proven record deploying AI models to production.

Responsibilities

• Deliver high-impact ML models in production.
• Improve model accuracy and reduce error rates.
• Build end-to-end pipelines for training and deployment.

Skills

Machine learning systems

Python

MLOps practices

Feature engineering

Docker

Kubernetes

Tools

PyTorch

TensorFlow

Scikit-learn

SQL

MLflow

Kubeflow

AWS

GCP

Azure

Job description

Overview

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

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