Associate Machine Learning Engineer

John Hancocks AI team works across the US Insurance business to optimize our sales and marketing activities make life insurance easy to buy and streamline in-force and claims operations! We have close relationships with functional leadership across the business and a strong working relationship with technology partners. As part of a 160 member community of data scientists John Hancock and our parent Manulife you will have an opportunity to network with experts across the globe.

John Hancock is a unit of Manulife Financial Corporation a leading international financial services group offering insurance and wealth management solutions in the US Canada Europe and Asia!

We are on a transformational journey. We want to remove complexity from the financial services industry to make peoples lives better and decisions easier. Being part of this transformation is hugely exciting and offers talented ambitious people an amazing opportunity to build a career.

We are seeking a skilled Associate Machine Learning Engineer with a strong focus on building data pipelines AI solution development deployment and monitoring. The ideal candidate will have experience in data ingestion & curation developing scalable and robust machine learning models and deploying AI solutions in production following MLOps best practices on Microsoft Azure and Databricks platforms. A strong background in Computer vision NLP and LLM models will be advantageous in this role.

Position Responsibilities:

• Building of GenAI and AI solutions including but not limited to analytical model development and implementation prompt engineering general all-purpose programming (e.g. Python) testing communication of results front end and back-end integration and iterative development with business subject matter expertise.
• Designing and solutioning AI/GenAI architectures for business teams specifically for plugin-based solutions and custom AI/GenAI application builds.
• Partner with data engineers and architects to design and implement scalable database solutions and data models organizing both structured and unstructured data.
• Develop processes for data cleansing enrichment and validation to improve quality and reliability.
• Collaborate with data scientists to develop and deploy machine learning models in cloud following best practices.
• Monitor solve and optimize data pipelines for performance and efficiency.
• Partner with IT and technology teams to put together data architecture designs integration procedures and data management workflows.
• Partner with data and platform partners to implement the best practices in managing data and platforms supporting AI development and deployment at scale.
• Develop automation scripts and tools to ease the deployment scaling and management of data systems within the cloud environment.
• Continuously monitor and improve the performance of AI solutions through data analysis and testing.
• Strong communication to help business partners better understand the use of data ML models and AI solutions.

Required Qualifications:

• A minimum of 2 years of relevant experience in developing and deploying models using AI and GenAI techniques.
• A minimum of 2 years of relevant experience with a strong understanding of data modeling ETL/ELT development and data warehousing principles.
• Masters degree in a quantitative field such as Data Science Engineering Computer Science or related technical field.

Preferred Qualifications:

• Hands-on experience in developing models solving NLP tasks including Document Classification Entity Extraction Entity Relation Extraction etc.
• Hands-on experience in processing documents (PDF/Images) using vision and/or language models as well as OCR techniques.
• Proven experience with Databricks and Azure cloud services and data solutions including but not limited to Azure SQL Data Warehouse Azure Cosmos DB Azure Data Lake Storage Azure Function and Azure Data Factory.
• Proficiency with big data processing frameworks such as Apache Spark and experience with programming languages like Python Scala or SQL.
• Skilled in the machine learning modeling life cycle including exploratory data analysis data cleansing feature engineering model building deployment and monitoring.
• Good understanding of vectorization and embedding prompt engineering RAG Multi-agent techniques.
• Experience in developing and deploying models in cloud-based environments specifically Microsoft Azure and Databricks following MLOps and DevOps best practices.
• Experience with Git Version Control Unit/Integration/End-to-End Testing CI/CD release management etc.
• Excellent problem-solving skills and the capacity to work under tight deadlines in a fast-paced environment.
• Previous work in agile development environments and knowledge of project management tools such as JIRA.

When you join our team:

• Well empower you to learn and grow the career you want.
• Well recognize and support you in a flexible environment where well-being and inclusion are more than just words.
• As part of our global team well support you in shaping the future you want to see.

#LI-Hybrid

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 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 .

Referenced Salary Location

Salary range is expected to be between

If you are applying for this role outside of the primary location please contact for the salary range for your location. 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. Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance.

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.

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