Senior AI/ML Engineer - Boston, MA

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

Job Description A leading insurance and financial services organization is seeking an AI/ML Engineer to join its growing technology team in Boston, MA. This role will focus on designing, developing, and deploying machine learning solutions that enhance customer experiences, improve operational efficiency, strengthen risk assessment capabilities, and support data-driven decision making across the business.

This is an excellent opportunity for a hands-on engineer who enjoys taking AI initiatives from concept to production. You'll collaborate with data scientists, software engineers, and business stakeholders to build scalable machine learning systems that deliver measurable impact in a highly regulated industry.

Location: Boston, MA (Hybrid)

Compensation: Up to $190,000 Base Salary Required Skills & Experience

• 5+ years of experience in Machine Learning Engineering, AI Engineering, Data Science, or a related field
• Strong proficiency with Python and modern machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Experience developing, deploying, and maintaining production-grade machine learning systems
• Strong software engineering fundamentals and experience building scalable applications
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
• Strong understanding of data pipelines, feature engineering, and model evaluation techniques
• Experience working with SQL and large-scale datasets
• Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field

Desired Skills & Experience

• Experience building Generative AI, LLM, or NLP-based applications
• Familiarity with MLOps tools and model monitoring platforms
• Experience with containerization technologies such as Docker and Kubernetes
• Understanding of insurance, financial services, risk analytics, or actuarial data
• Experience with distributed data processing platforms such as Sparkl>
• Master's degree in a related technical discipline

What You Will Be Doing Daily Responsibilities

• Design, build, and deploy AI and machine learning solutions into production environments
• Develop scalable APIs and services that support machine learning applications
• Partner with data scientists to operationalize and optimize machine learning models
• Build and maintain data pipelines that support training and inference workflows
• Monitor model performance and implement continuous improvement processes
• Collaborate with business stakeholders to identify opportunities for AI-driven automation and innovation
• Follow engineering best practices to ensure reliability, scalability, and security

The Offer

• Base salary up to $190,000
• Annual bonus opportunity
• Hybrid work environment in Boston, MA
• Opportunity to build enterprise-scale AI solutions within a stable and growing industry
• High-visibility projects with direct business impact

You will receive the following benefits

• Medical Insurance
• Dental Benefits
• Vision Benefits
• Paid Time Off (PTO)
• 401(k) with company match

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Posted By: Nick Ramler