Senior ML Engineer (Hybrid) - MLOps & LLMs in Finance

John Hancock; Boston (MA); Hybrid; USD 158,000 - 193,000; Full time

Job summary

John Hancock Life Insurance Company (USA) in Boston seeks a Senior Machine Learning Engineer to design, deploy, and operationalize analytics solutions for the insurance division. You will work with the Advanced Analytics Team to create scalable ML pipelines and production-grade AI systems.

The role emphasizes MLOps, Generative AI with prompt engineering and RAG, and collaboration with data teams to integrate ML models into existing platforms.

Qualifications

• Master’s degree or foreign equivalent in Data Science, Computer Science, Computer Engineering, or related field.
• 3 years of machine learning experience is required.

Responsibilities

• Design, recommend, and implement ML platforms and infrastructure using MLOps/LLMOps best practices.
• Collaborate with data scientists and data engineers to build scalable ML pipelines.
• Deploy ML models into production and monitor performance.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

Keras

XGBoost

Docker

Kubernetes

AWS

Azure

GCP

PostgreSQL

MySQL

NoSQL

MongoDB

Spark

Databricks

LLMs

OpenCV

Tesseract

Education

Master’s degree in Data Science or related field

Tools

OpenAI/LLMOps tooling

Job description

John Hancock Life Insurance Company (USA) in Boston seeks a Senior Machine Learning Engineer to design, deploy, and operationalize analytics solutions for the insurance division. You will work with the Advanced Analytics Team to create scalable ML pipelines and production-grade AI systems.

The role emphasizes MLOps, Generative AI with prompt engineering and RAG, and collaboration with data teams to integrate ML models into existing platforms.