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# Senior AI/ML Engineer - Boston, MA

- **Company:** Motion Recruitment Partners LLC.
- **Location:** Boston, MA, United States
- **Experience:** Expert
- **Salary:** $190,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Distributed Computing Environment, Monitoring of Systems, Python (Programming Language), Machine Learning, Tensorflow, Google Cloud, Feature Engineering, Pytorch, Large Language Models, Apache Spark, Model Validation, Generative AI, Containerization, Scikit Learn, Information Technology, Machine Learning Operations, Data Pipelines, Docker
- **Published:** November 11, 2026
- **Apply:** https://www.dice.com/job-detail/ad86e2ba-52e5-4d47-b59a-537b379c0fc8

## About the Role

* 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 Spark
 * Master's degree in a related technical discipline

## Description

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