Boston Hybrid ML Engineer: Pipelines, APIs & Microservices

Manulife Financial; Boston (MA); Hybrid; USD 90,000 - 167,000; Full time

Job summary

John Hancock Life Insurance Company (USA) seeks a Machine Learning Engineer to design and maintain scalable data pipelines and backend services for underwriting and analytics. You will deploy ML workflows, monitor production, and collaborate with data scientists and engineers in a cross‑functional team.

The role requires a Master’s degree in a data science related field and 3 years of Python experience, plus hands‑on work with PyTorch/TensorFlow, FastAPI/Flask, and cloud services.

Qualifications

• Master’s degree or foreign equivalent in a relevant field and 3 years of Python programming experience.
• 3 years with SQL or NoSQL databases for data modeling, querying, or pipeline integration.
• 3 years developing ML models with PyTorch or TensorFlow.
• 3 years building backend APIs or microservices with FastAPI or Flask.
• 2 years deploying ML workflows or backend services using AWS or Azure.
• 2 years using Docker and Kubernetes.
• 2 years with CI/CD tools like GitHub Actions or TeamCity.
• 2 years designing distributed or scalable systems.

Responsibilities

• Develop, build and maintain scalable data pipelines supporting underwriting, analytics, and ML systems.
• Develop and deploy backend services and microservices to support data ingestion, retrieval, and ML inference workflows.
• Deploy, monitor, and maintain machine learning pipelines and backend services in production environments.
• Conduct root‑cause analysis of data, model, and pipeline issues and implement corrective solutions.
• Collaborate with data scientists, underwriters, and engineering teams to translate business requirements into technical solutions.
• Support production releases and large‑scale batch processing of underwriting workflows.

Skills

Python

SQL/NoSQL

PyTorch/TensorFlow

FastAPI/Flask

AWS/Azure

Docker/Kubernetes

CI/CD (GitHub Actions/TeamCity)

Distributed systems

Education

Master's degree in Data Science / related fields

Tools

PostgreSQL

MongoDB

Docker

Kubernetes

GitHub Actions

Job description

John Hancock Life Insurance Company (USA) seeks a Machine Learning Engineer to design and maintain scalable data pipelines and backend services for underwriting and analytics. You will deploy ML workflows, monitor production, and collaborate with data scientists and engineers in a cross‑functional team.

The role requires a Master’s degree in a data science related field and 3 years of Python experience, plus hands‑on work with PyTorch/TensorFlow, FastAPI/Flask, and cloud services.