Senior AI/ML Engineer - Boston, MA

Sourced from yabot.jobs

A leading insurance and financial services organization is hiring a Senior AI/ML Engineer in Boston, MA to design, build, and deploy machine learning solutions into production. The role focuses on scalable ML systems that improve customer experience, operational efficiency, and risk assessment. You will partner with data scientists, software engineers, and business stakeholders in a highly regulated industry.

• 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 for training and inference workflows
• Monitor model performance and implement continuous improvement processes
• Collaborate with business stakeholders to identify AI-driven automation opportunities
• Follow engineering best practices for reliability, scalability, and security

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

• Experience building Generative AI, LLM, or NLP-based applications
• Familiarity with MLOps tools and model monitoring platforms
• Experience with 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