**The Opportunity** The Machine Learning Engineer will join the Group Advanced Analytics team, focusing on packaging models, automating workflows, and operationalizing analytics solutions to deliver business value across JH/Manulife. The ideal candidate should be an advanced programmer with a strong grasp of Data Science, Data Engineering, application development, software engineering, and DevOps. **Responsibilities** + Collaborate closely with Data Scientists and Data Engineers to design and implement scalable, efficient machine learning pipelines that meet business needs. + Evaluate machine learning models to ensure optimal performance and scalability, making necessary adjustments to improve outcomes. + Deploy machine learning models into production environments, ensuring seamless integration, and continuously monitor their performance to maintain reliability and accuracy. + Manage and oversee data science infrastructure to streamline the model development and deployment process, ensuring efficient workflows. + Propose and implement appropriate tools, including languages, libraries, and frameworks, to enhance project execution and outcomes. + Work in collaboration with infrastructure architects to develop scalable and efficient solutions that align with organizational goals and technological capabilities. + Collaborate with multi-functional teams to integrate machine learning models into existing systems and processes, ensuring a smooth transition and effective implementation. + Stay ahead of the latest advancements in Machine Learning (ML), Artificial Intelligence (AI), and Generative AI (GenAI) to incorporate innovative techniques and technologies into projects. + Mentor peers and provide guidance on ML/LLMOps standard practices, fostering a culture of continuous learning and improvement within the team. **How will you create impact?** Machine Learning Engineers (MLEs) are integral to the central team, playing a crucial role in amplifying the impact of the Group Advanced Analytics by supporting various Data Science teams with new development and deployments. They are responsible for providing infrastructure and deployment support, ensuring the seamless operationalization of models and MLOps processes, and establishing standardized standard methodologies across all teams to enhance efficiency and consistency. **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** + A bachelor's degree in computer science, engineering, or a related field is required, with a graduate degree being preferred. + Extensive hands-on experience with large-scale software engineering systems, emphasizing the development and deployment of machine learning models. + Proven experience in operationalizing code through DevOps pipelines, including tools like Git, Jenkins, and code scanning technologies. + Strong programming skills in Python, with experience in machine learning libraries like TensorFlow, PyTorch, or scikit-learn. + Strong familiarity with MLOps practices, including model monitoring, versioning, and lifecycle management to ensure robust and scalable deployment of machine learning solutions. + Advanced knowledge of SQL and experience working with relational databases, alongside proficiency in RDBMS and NoSQL databases. + Experience in infrastructure management, including cloud computing, Linux OS, networks, Docker, and Kubernetes. + Expertise in cloud-native architecture, preferably using the Azure stack, with skills in Azure ML, Databricks (Spark), and Azure Data Factory as valuable assets. + Proficient in building ETL pipelines for feature engineering on large-scale datasets using Spark. + Experience with Large Language Models (LLMs) including proprietary or open source models.. + Ability to balance urgency with the delivery of high-quality, pragmatic solutions. + Expertise in delivering analytics and machine learning products, with a deep understanding of agile product delivery in enterprise environments. **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 **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 . **Primary Location** Toronto, Ontario **Modalidades de Trabajo** Híbrido **Salary range is expected to be between** $60,900.00 CAD - $113,100.00 CAD 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 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 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 tiempo libre remunerado en Canadá incluye feriados, vacaciones, días personales y días por enfermedad, y ofrecemos la gama completa de ausencia laboral reglamentaria. Si se está postulando para este puesto en los EE. UU., póngase en contacto con recruitment@manulife.com para obtener más información sobre las disposiciones relativas al tiempo libre remunerado específicas de EE. UU.