Machine Learning Engineer

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

Employer: John Hancock Life Insurance Company (USA)

Job Site : 200 Berkeley Street, Boston, MA 02116

Job Title: Machine Learning Engineer

Job Duties:

• Develop, build and maintain scalable data pipelines supporting underwriting, analytics, and machine learning 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; and
• Support production releases and large‑scale batch processing of underwriting workflows.

Work Arrangement requirement: Hybrid from Boston office (3 days from office, 2 days from home)

Minimum Requirements:

Master’s degree or foreign equivalent in Data Science, Information Studies, Information Science, Computer Science, Machine Learning, or a closely related field and 3 years of Python programming experience for backend systems, automation, or machine learning workloads.

Experience must include the following, which may be gained concurrently:

• 3 years of experience using SQL or NoSQL databasesincluding PostgreSQL or MongoDB for data modeling, querying, or pipeline integration.
• 3 years of experience developing or deploying machine learning modelsusing PyTorch or TensorFlow.
• 3 years of experience building or maintaining backend APIs or microservicesusing FastAPI or Flask.
• 2 years of experience deploying ML workflows or backend services using AWS or Azure.
• 2 years of experience using containerization and orchestration tools including Docker and Kubernetes.
• 2 years of experience using GitHub Actions or TeamCity for Continuous Integration/ Continuous Deployment (CI/CD).
• 2 years of experience designing distributed or scalable systems including microservices, load balancing or distributed processing.

Salary: $162,198 per year

The role being advertised is an existing vacancy.

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy‑related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact [e-mail].

Referenced Salary Location

Boston, Massachusetts

Working Arrangement

Hybrid

Salary range is expected to be between

$90,160.00 USD - $167,440.00 USD

Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job‑related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact [e-mail] for the salary range for your location.

Manulife/John Hancock offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension/401(k) savings plans and a global share ownership plan with employer matching contributions) and financial education and counseling resources.

Our generous paid time off program in the U.S. includes up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time (or more where required by law) each year, and we offer the full range of statutory leaves of absence.

We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.

Know Your Rights I Family & Medical Leave I Employee Polygraph Protection I Right to Work I E-Verify

Company: John Hancock Life Insurance Company (U.S.A.)