Associate Machine Learning Engineer

Manulife Insurance Malaysia; Toronto; Hybrid; CAD 60,000 - 114,000; Full time

Job summary

Une entreprise innovante recherche un Ingénieur en Apprentissage Automatique pour rejoindre son équipe d'Analytique Avancée. Ce rôle dynamique implique la conception et l'implémentation de pipelines d'apprentissage automatique, l'évaluation des modèles pour garantir des performances optimales, et la gestion de l'infrastructure de science des données. Le candidat idéal doit posséder des compétences solides en programmation, en ingénierie logicielle et en DevOps, tout en restant à jour avec les dernières avancées en ML et AI. Rejoignez une équipe qui valorise l'innovation, la collaboration et le développement professionnel dans un environnement de travail flexible et inclusif.

Benefits

Assurance santé

Assurance dentaire

Santé mentale

Assurance vie

Congés de maternité

Programmes d'aide aux employés

Développement professionnel

Équilibre travail-vie personnelle

Qualifications

• Expérience pratique avec des systèmes de génie logiciel à grande échelle.
• Compétences en programmation Python avec des bibliothèques de ML.

Responsibilities

• Collaborer avec des Data Scientists pour concevoir des pipelines ML efficaces.
• Déployer des modèles de ML dans des environnements de production.

Skills

Python

Machine Learning

Data Engineering

DevOps

SQL

MLOps

ETL Pipelines

Cloud Computing

Large Language Models

Education

Bachelor in Computer Science

Graduate Degree

Tools

TensorFlow

PyTorch

Docker

Kubernetes

Azure ML

Databricks

Git

Jenkins

Job description

Associate Machine Learning Engineer page is loaded

Associate Machine Learning Engineer

Postuler locations Toronto, Ontario time type Temps plein posted on Publié hier time left to apply Date de fin: 4 mai 2025 (Il reste 9jours pour postuler) job requisition id JR25010209

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

À propos de Manuvie et de John Hancock

La Société Financière Manuvie est un chef de file mondial des services financiers qui aide les gens à prendre leurs décisions plus facilement et à vivre mieux. Pour en apprendre plus à notre sujet, rendez vous à l’adresse www.manuvie.com.

Manuvie est un employeur qui souscrit au principe de l’égalité d’accès à l’emploi

Chez Manulife/John Hancock nous valorisons notre diversité. Nous nous efforçons d’attirer, de perfectionner et de maintenir une main d'oeuvre qui est aussi diversifiée que nos clients, et de favoriser la création d’un milieu de travail inclusif qui met à profit la diversité de nos employés et les compétences de chacun.

Région principale

Toronto, Ontario

Modalités de travail

Hybride

L’échelle salariale devrait se situer entre

$60,900.00 CAD - $113,100.00 CAD

Si vous posez votre candidature à ce poste en dehors de la région principale, veuillez écrire à [e-mail] pour obtenir l’échelle salariale correspondant à votre région.

Manuvie offre aux employés admissibles une vaste gamme d’avantages sociaux personnalisables, notamment une assurance soins médicaux, soins dentaires, santé mentale, soins de la vue, invalidité de courte et de longue durée, assurance vie et assurance DMA, assurance adoption, de maternité de substitution et de soins médicaux non urgents ainsi que des programmes d’aide aux employés et leur famille.

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