Senior ML Engineer – AI Production & NLP

Manulife; Boston (MA); Hybrid; USD 107,000 - 200,000; Full time

Benefits offered by this job

Comprehensive benefits

Career growth opportunities

Flexible work environment

Job summary

Manulife/John Hancock is seeking an experienced AI/ML Engineer to join the Boston-based team, delivering scalable ML solutions from experiments to production. You’ll design end-to-end ML pipelines, implement MLOps practices, and collaborate with data scientists, engineers, and business stakeholders to realize business impact.

The role requires 5+ years in production ML, strong Python, NLP, and cloud experience, plus a PhD or Master’s in a related field.

Qualifications

• Master’s or PhD in Computer Science, Engineering, or a related quantitative field
• 5+ years of experience delivering machine learning solutions in production
• Strong programming skills in Python (Java/SQL a plus)
• Hands-on experience with NLP and document understanding (e.g., classification, entity extraction, relationship extraction)
• Experience with unstructured data (PDFs, images) using vision/language models and OCR
• Strong understanding of the AI lifecycle: data preparation, feature engineering, model development, deployment, and monitoring
• Experience with distributed computing (e.g., Spark, Hadoop) and cloud platforms (AWS, GCP, or Azure)
• Familiarity with Docker, Kubernetes, CI/CD pipelines, and production-grade engineering practices

Responsibilities

• Design, build, and operationalize ML models from experimentation to scalable production systems
• Develop and maintain end-to-end ML pipelines with CI/CD, monitoring, and model performance tracking
• Lead technical design reviews and define architecture standards for scalability, reliability, and security
• Partner with data scientists, engineers, and business stakeholders to deliver AI solutions aligned to business goals
• Apply and champion MLOps best practices across the full model lifecycle
• Mentor junior engineers and contribute to a strong engineering culture

Skills

Python

NLP

Unstructured data

Cloud platforms

Spark/Hadoop

Docker/Kubernetes

CI/CD

Production ML

Mentor juniors

Education

Master’s or PhD in CS/Engineering

Tools

Spark

Hadoop

Docker

Kubernetes

Job description

Manulife/John Hancock is seeking an experienced AI/ML Engineer to join the Boston-based team, delivering scalable ML solutions from experiments to production. You’ll design end-to-end ML pipelines, implement MLOps practices, and collaborate with data scientists, engineers, and business stakeholders to realize business impact.

The role requires 5+ years in production ML, strong Python, NLP, and cloud experience, plus a PhD or Master’s in a related field.