Hybrid Boston: Senior ML Engineer, MLOps & LLMOps

Manulife Financial; Boston, Northern (MA, KY); Hybrid; USD 158,000 - 193,000; Full time

Job summary

John Hancock Life Insurance Company (USA) in Boston is seeking a Senior Machine Learning Engineer to design, implement, and operationalize ML and LLM-based analytics for the insurance division. You will build scalable ML pipelines, deploy models with production-grade reliability, and collaborate with data scientists, data engineers, and infrastructure teams.

The role requires a Master’s degree and 3+ years of ML experience, with strong experience in MLOps, cloud platforms, and large language

Qualifications

• Master’s degree or foreign equivalent in Data Science, Computer Science, Computer Engineering, or related field.
• 3 years of ML experience with model training, evaluation and production deployment.
• Experience with ML systems, MLOps, and large language models.

Responsibilities

• Package models and automate workflows to operationalize analytics solutions.
• Design and implement scalable ML pipelines with cross-functional teams.
• Deploy models to production and monitor performance.
• Mentor teammates on MLOps best practices.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

Keras

XGBoost

Docker

Kubernetes

SQL

Spark

Databricks

Education

Master’s degree in Data Science, CS, or related field

Tools

OpenCV

Tesseract

Azure AI Studio

Job description

John Hancock Life Insurance Company (USA) in Boston is seeking a Senior Machine Learning Engineer to design, implement, and operationalize ML and LLM-based analytics for the insurance division. You will build scalable ML pipelines, deploy models with production-grade reliability, and collaborate with data scientists, data engineers, and infrastructure teams.

The role requires a Master’s degree and 3+ years of ML experience, with strong experience in MLOps, cloud platforms, and large language