Senior Machine Learning Engineer

Manulife
Boston, MA, United States
5 days ago
Apply on dejobs.org
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$107,450.0 - $199,550.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Agile Methodology Artificial Intelligence Amazon Web Services JIRA Microsoft Azure Cloud Computing Computer Programming Continuous Integration Data Cleansing Distributed Systems Fraud Prevention and Detection
+16 more
Apache Hadoop Python (Programming Language) Machine Learning Language Modeling Named Entity Recognition SQL Databases Unstructured Data Feature Engineering Large Language Models Apache Spark Deep Learning Generative AI Kubernetes Information Technology Machine Learning Operations Docker

Job description

  • Design, build, and operationalize machine learning models-from experimentation to scalable production systems (including classical ML, deep learning, and LLM-based solutions)
  • 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

Requirements

  • 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 working 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

Nice to Have

  • Experience with fraud detection, anomaly detection, or deepfake detection
  • Exposure to generative AI, LLM fine-tuning, or agent-based systems
  • Experience working in agile environments (e.g., JIRA)

What Drives Success

  • Customer-first mindset with a focus on impact
  • Curiosity and passion for applying emerging AI technologies
  • Ownership and accountability in fast-paced environments
  • Strong collaboration across cross-functional teams
  • Commitment to integrity and inclusion

Benefits & conditions

  • Competitive compensation and comprehensive benefits
  • Career growth and leadership opportunities
  • Flexible work environment and strong work-life balance
  • A collaborative, inclusive, and innovation-driven culture

Our Commitment

We are a values-driven organization focused on inclusion, innovation, and creating meaningful impact for our customers, colleagues, and communities.

The role being advertised is an existing vacancy.

About the company

Join John Hancock’s AI team and help transform the insurance experience through advanced analytics and intelligent automation. You’ll work at the intersection of business and technology to build scalable AI solutions that enhance customer experience, simplify processes, and drive smarter decisions.

As part of a global community of 260+ data scientists and AI professionals across Manulife, you’ll collaborate with experts worldwide on high-impact initiatives. We are on a transformation journey to remove complexity from financial services and make decisions easier for our customers., Ley de Protección del Empleado contra el Examen Poligráfico (https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/eppac.pdf)

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on dejobs.org
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:05 min

Integrating an assistant application with Jira software

Felix Augenstein · LIVE

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · World Congress 2025

2:28 min

Understanding Kubernetes architecture and core cluster components

Marc Nimmerrichter · World Congress 2022

7:10 min

Exploring pathways into the machine learning engineering field

Jose Luis Latorre Millas · LIVE

5:47 min

Integrating user stories and test automation via Jira tools

Christoph Ruggenthaler · LIVE

Videos

See all

Related articles

See all