The Opportunity

The Lead MLOps / LLM Ops will own the design, recommendation & implementation of platform, infrastructure and best MLOps/LLMOps practices to support all data science teams and projects in US Segment Advanced Analytics! Directly report of Head of US Segment AI/Advanced Analytics, this role will closely work with multi-functional teams such as IT, Data Office, Operation, Sales & Distribution, etc. to strategize and implement AI/Advanced Analytics applications and deployment. It’s a unique position to bring innovative ideas (such as Gen-AI solutions) to life and have business impact directly with sound architecture, effective MLOps/LLMOps processes and comprehensive controls!

Responsibilities

• Design and implement optimal MLOps framework, standards, and guidelines, maintaining the central GitHub MLOps repository, driving adption and fostering a community around it.

• Work closely with Data Scientists, Data & Platform Engineers, Architects and IT partners to design and implement MLOps /LLMOps processes to enable seamless deployment, integration with systems and monitoring of AI models on cloud environment.

• Lead and manage high-quality Generative AI tech development (prompt engineering, RAG applications, and fine-tune LLM models to meet business need) and streamline Generative AI model development and deployment using Azure infrastructure and capabilities like Azure AI studio

• Manage and architect AI solutions and deployment with systematic approach to allow implementation at-scale

• Continually assess maturity of teams MLOps/LLM Ops tools and practices, establish and drive standard methodologies for model versioning, testing, and monitoring to ensure the reliability and performance of AI/ML solutions

• Jointly shape the global rollout of Continuous Monitoring capabilities, working closely with cloud and 3rd party vendors ensuring reliability and scalability, and maintaining comprehensive documentation of MLOps processes and procedures

• Develop close partnership with Data Science Teams, Data Office and IT partners, foster strong collaboration

• Stay up to date with the latest advancements in machine learning and MLOps /LLMOps techniques, closely follow industrial trend, and contribute to the continuous improvement of our machine learning capabilities.

What motivates you?

• You obsess about customers, listen, engage and act for their benefit.

• You think big, with curiosity to discover ways to use your agile approach and enable business outcomes.

• You thrive in teams and enjoy getting things done together.

• You take ownership and build solutions, focusing on what matters.

• You do what is right, work with integrity and speak up.

• You share your humanity, helping us build a diverse and inclusive work environment for everyone.

What we are looking for

• An advanced degree in Data Science, Computer Science, Engineering, Physics, or Statistics and Math

• Minimum of 5 years of combined experience as an ML engineer, DevOps engineer, system architect or lead data scientist in Big Data ecosystems or similar distributed or public cloud platforms.

• Proven experience as a Data/ML Engineer, with a strong focus on MLOps, design and productionize code through the DevOps pipeline (git, orchestration pipelines, code reliability security scanning ) to enable seamless deployment and monitoring of machine learning models

• 2-3 years hands-on experience with Azure tech stack, particularly Databricks and MLFlow, including Azure AI studio, Langchain, Vector stores. Experienced in Azure OpenAI and open-source models like Llama.

• Experience in deploying ML models either via native infrastructure (such as Azure DevOps etc.) or 3rd party MLOps platforms.

• Strong software development skills, familiar with C/C++/Java, proficiency in Python and SQL, hands-on experience with Azure ML, Databricks, AWS, etc.

• Experience with Generative AI, prompt engineering, and RAG applications

• Solid understanding of modern Cloud tech, bridge Data Science solution and IT system integration

• Solid understanding of machine learning algorithms, statistical modeling, and data analysis techniques.

• Strong partner management, ability to translate sophisticated technical topics into business language, presentation skills, and an ability to balance a sense of urgency with shipping high-quality and pragmatic solutions.

• Strong problem-solving skills and a passion for using AI to drive business impact

Preferred Qualifications

• Experience with LLMs (extractive and generative), fine-tuning, and operationalizing LLM pipelines.

• Familiarity with higher-level trends in LLMs and open-source platforms.

• Experience in building and maintaining a centralized code base or framework used by multiple teams will be a plus.

• Experience with infrastructure as code like Terraform.

• Excellent communication and presentation skills in English, both verbal and written.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

What can we offer you?

• A competitive salary and benefits packages.

• A growth trajectory that extends upward and outward, encouraging you to follow your passions and learn new skills.

• A focus on growing your career path with us.

• Flexible work policies and strong work-life balance.

• Professional development and leadership opportunities.

Our commitment to you

• Values-first culture: We lead with our Values every day and bring them to life together.

• Boundless opportunity: We create opportunities to learn and grow at every stage of your career.

• Continuous innovation : We invite you to help redefine the future of financial services.

• Delivering the promise of Diversity, Equity and Inclusion: We foster an inclusive workplace where everyone thrives.

• Championing Corporate Citizenship: We build a business that benefits all partners and has a positive social and environmental impact.

#LI-Hybrid

#LI-JH

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 recruitment@manulife.com .

Ubicación principal

Boston, Massachusetts

Semana de Trabajo Comprimida

Híbrido

Se prevé que el rango salarial esté entre

$124,250.00 USD - $230,750.00 USD

Si se está postulando para este puesto fuera de la ubicación principal, póngase en contacto con recruitment@manulife.com 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.)