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John Hancock’s 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 people’s 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 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.

+ Master’s 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:_

+ We’ll empower you to learn and grow the career you want.

+ We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.

+ As part of our global team, we’ll support you in shaping the future you want to see.

\#LI-Hybrid

Acerca de Manulife y John Hancock

Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera más fácil y a vivir mejor. Para obtener más información acerca de nosotros, visite http://www.manulife.com .

Manulife es un empleador que ofrece igualdad de oportunidades

En Manulife/John Hancock, valoramos nuestra diversidad. Nos esforzamos por atraer, formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas. Estamos comprometidos con la equidad en las contrataciones, la retención de talento, el ascenso y la remuneración, y administramos todas nuestras prácticas y programas sin discriminación por motivos de raza, ascendencia, lugar de origen, color, origen étnico, ciudadanía, religión o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientación sexual, características genéticas, condición de veterano, identidad de género, expresión de género, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente.

Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo. Un representante de Recursos Humanos trabajará con los solicitantes que requieran una adaptación razonable durante el proceso de solicitud. Toda la información que se haya compartido durante el proceso de solicitud de adaptación se almacenará y utilizará de manera congruente con las leyes y las políticas de Manulife/John Hancock correspondientes. Para solicitar una adaptación razonable en el proceso de solicitud, envíenos un mensaje a [email protected] .

Ubicación principal

Boston, Massachusetts

Modalidades de Trabajo

Híbrido

Se prevé que el rango salarial esté entre

$87,990.00 USD - $163,410.00 USD

Si se está postulando para este puesto fuera de la ubicación principal, póngase en contacto con [email protected] para conocer el rango salarial de su ubicación. El salario real variará según las condiciones locales del mercado, la geografía y los factores relacionados con el trabajo pertinentes, como conocimiento, habilidades, calificaciones, experiencia y educación/capacitación. Los empleados también tienen la oportunidad de participar en programas de incentivos y obtener una compensación de incentivos vinculada al desempeño comercial e individual.

Manulife/John Hancock ofrece a los empleados aptos una amplia variedad de beneficios personalizables, entre ellos, beneficios de salud, odontológicos, de salud mental, oftalmológicos, por discapacidad a corto y a largo plazo, cobertura de seguro de vida y por muerte accidental y desmembramiento, adopción/subrogación y bienestar, y planes de asistencia al empleado/familiar. También ofrecemos a los empleados admisibles varios planes de ahorro para la jubilación (incluidos planes de ahorro 401(k) o de pensiones y un plan mundial de propiedad de acciones con contribuciones equivalentes del empleador) y recursos de asesoramiento y educación financiera. Nuestro generoso programa de días libres pagos en EE. UU. contempla hasta 11 días festivos, 3 días personales, 150 horas de vacaciones y 40 horas de licencia por enfermedad (o más cuando lo exija la ley) por año, y ofrecemos todos los tipos de licencias contempladas por la ley.

Conozca sus derechos (https://www.dol.gov/agencies/ofccp/posters)

Permiso Familiar y Médico

Ley de Protección del Empleado contra el Examen Poligráfico (https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/eppac.pdf)

Derecho al Trabajo

Verificación Electrónica (E-** **Verify** **)

Transparencia Salarial (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp\_%20English\_formattedESQA508c.pdf)

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