Machine Learning Engineer

John Hancock Life Insurance Company (U.S.A.) is hiring a Machine Learning Engineer to build production ML and data infrastructure for underwriting and analytics workflows. Responsibilities Develop, build, and maintain scalable data pipelines for underwriting, analytics, and machine learning systems Develop and deploy backend services and microservices for data ingestion, retrieval, and ML inference workflows Deploy, monitor, and maintain machine learning pipelines and backend services in production Perform root-cause analysis for data, model, and pipeline issues; implement corrective actions Collaborate with data scientists, underwriters, and engineering teams to convert business requirements into technical solutions Support production releases and large-scale batch processing for underwriting workflows Requirements Master’s degree (or foreign equivalent) in Data Science, Information Studies, Information Science, Computer Science, Machine Learning, or a closely related field 3+ years of Python programming experience for backend systems, automation, or machine learning workloads 3+ years with SQL or NoSQL databases, including PostgreSQL or MongoDB , for data modeling, querying, or pipeline integration 3+ years developing or deploying ML models using PyTorch or TensorFlow 3+ years building or maintaining backend APIs or microservices using FastAPI or Flask 2+ years deploying ML workflows or backend services using AWS or Azure 2+ years using containerization and orchestration tools including Docker and Kubernetes 2+ years using GitHub Actions or TeamCity for Continuous Integration/Continuous Deployment (CI/CD) 2+ years designing distributed or scalable systems, including microservices, load balancing, or distributed processing Technologies Python SQL NoSQL PostgreSQL MongoDB PyTorch TensorFlow FastAPI Flask AWS Azure Docker Kubernetes GitHub Actions TeamCity Compensation Salary: $162,198 per year Expected range: $90,160.00 USD - $167,440.00 USD Benefits Eligible employees may participate in incentive programs and earn incentive compensation tied to business and individual performance 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 Retirement savings plans including pension/401(k) savings plans and a global share ownership plan with employer matching contributions Financial education and counseling resources Paid time off program in the U.S.: up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time each year (or more where required by law), plus statutory leaves of absence Work Arrangement Hybrid role based in Boston, MA (3 days in office, 2 days from home) #J-18808-Ljbffr