AI/ML Engineer, Production Systems (Hybrid, Boston)

Motion Recruitment; Boston (MA); Hybrid; USD 171,000 - 209,000; Full time

Benefits offered by this job

Medical Insurance

Dental Benefits

Vision Benefits

PTO

401(k) with company match

Job summary

Motion Recruitment is seeking an AI/ML Engineer to join a leading insurance and financial services organization in Boston, MA. The role focuses on designing, developing, and deploying machine learning solutions to enhance customer experiences and drive data-driven decisions.

You will collaborate with data scientists and software engineers to build scalable ML systems in a regulated environment, delivering measurable impact while advancing production capabilities and risk analytics.

Qualifications

• 5+ years of experience in ML/AI/Data Science or related field
• Proficiency with Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
• Experience deploying production-grade ML systems
• Strong software engineering fundamentals and scalable app development
• Cloud experience (AWS, Azure, GCP)
• Knowledge of data pipelines, feature engineering, and model evaluation
• .SQL and handling large-scale datasets

Responsibilities

• Design, build, and deploy AI/ML solutions into production environments
• Develop scalable APIs and services for ML applications
• Collaborate with data scientists to operationalize models
• Build and maintain data pipelines for training and inference
• Monitor model performance and implement continuous improvements
• Partner with stakeholders to identify AI-driven opportunities
• Follow engineering best practices for reliability, scalability, and security

Skills

Python

TensorFlow

PyTorch

Scikit-learn

Data Pipelines

SQL

AWS

Azure

Education

Bachelor's degree in CS/Engineering/Data Science

Tools

Docker

Kubernetes

Model Monitoring Tools

Job description

Motion Recruitment is seeking an AI/ML Engineer to join a leading insurance and financial services organization in Boston, MA. The role focuses on designing, developing, and deploying machine learning solutions to enhance customer experiences and drive data-driven decisions.

You will collaborate with data scientists and software engineers to build scalable ML systems in a regulated environment, delivering measurable impact while advancing production capabilities and risk analytics.