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Machine Learning Engineer

4 weeks ago

Toronto, Canada Société Financière Manuvie Full time
The Opportunity The Machine Learning Engineers will be a part of the Group Advanced Analytics team and will be tasked with packaging models, automating workflow, and operationalizing analytics solutions to generate business value to various parts of the JH/Manulife. The ideal candidate must be a sophisticated programmer with a good understanding of Data Science, Data Engineering, application development, software engineering, and DevOps.

Responsibilities Collaborate with Data Scientists and Data Engineers to design and implement scalable and efficient machine learning pipelines. Evaluate and optimize machine learning models for performance and scalability. Deploy machine learning models into production and monitor their performance. Handle data science infrastructure to streamline model development and deployment. Proposing appropriate tools (languages/libraries/frameworks) for implementing projects. Working closely with infrastructure architects to craft scalable and efficient solutions. Work closely with multi-functional teams to integrate machine learning models into existing systems and processes. Stay up-to-date with the latest advancements in ML & AI. Mentor associates and peers on MLOps standard practices.

How will you create impact? The MLEs work as part of a central team, supporting other Data Science teams within the Group Advanced Analytics with all new development and deployments. MLEs are responsible for infrastructure and deployment support, operationalization and MLOps, and establishing standardize standard methodologies across the teams

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 Hands-on experience with large-scale systems in software engineering. Experience in operationalizing code through DevOps pipeline (git, Jenkins pipeline, code scan). Familiarity with big data processing and building data APIs. Experience with automated data quality frameworks is a plus. Working experience in building and deploying machine learning models as REST-based API using Flask, Elasticsearch, etc. Strong programming skills in Python and experience with ML libraries such as TensorFlow, PyTorch, or scikit-learn. Advanced working SQL knowledge and experience working with relational databases and SQL. Experience in infrastructure, including Cloud Computing, Linux OS, Networks, Docker, Kubernetes, RDBMS and NoSQL Databases. Experience working with cloud native architecture (PaaS) using Azure stack preferably and experience with Azure ML, DataBricks (Spark), Azure Data Factory will be an asset. Experience in building ETL pipelines to perform feature engineering on large-scale dataset using Spark. Experience with Large Language Models (LLMs) such as GPT-3 or BERT. An ability to balance a sense of urgency with shipping high quality and pragmatic solutions. Expertise in delivering analytics & machine learning products, with a deep understanding of agile product delivery in an enterprise environment.

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

À Manuvie/John Hancock, nous embrassons notre diversité. Nous nous efforçons d’attirer, de perfectionner et de maintenir un effectif qui est aussi varié 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. Nous nous engageons à assurer un recrutement, une fidélisation, une promotion et une rémunération équitables, et nous administrons toutes nos pratiques et tous nos programmes sans discrimination en raison de la race, de l’ascendance, du lieu d’origine, de la couleur, de l’origine ethnique, de la citoyenneté, de la religion ou des croyances ou des convictions religieuses, du genre (y compris grossesse et affection liée à une grossesse), de l’orientation sexuelle, des caractéristiques génétiques, du statut d’ancien combattant, de l’identité de genre, de l’expression de genre, de l’âge, de l’état matrimonial, de la situation de famille, d’une invalidité ou de tout autre motif protégé par la loi applicable.

Nous nous sommes donné comme priorité d’éliminer les obstacles à l’accès égalitaire à l’emploi. C’est pourquoi un représentant des Ressources humaines collaborera avec les candidats qui demandent une mesure d’adaptation raisonnable pendant le recrutement. Tous les renseignements communiqués pendant le processus de demande de mesures d’aménagement seront stockés et utilisés conformément aux lois et aux politiques applicables de Manuvie/John Hancock. Pour demander une mesure d’aménagement raisonnable dans le cadre du recrutement, écrivez à recruitment@manulife.com.

Région principale Toronto, Ontario

Semaine de travail comprimée

Hybride L’échelle salariale devrait se situer entre $74,270.00 CAD - $137,930.00 CAD

Si vous posez votre candidature à ce poste en dehors de la région principale, veuillez écrire à recruitment@manulife.com pour obtenir l’échelle salariale correspondant à votre région. Le salaire varie en fonction des conditions du marché local, de la géographie et de facteurs pertinents liés au poste telles les connaissances, les compétences, les qualifications, l’expérience et l’éducation ou la formation. Les employés ont également la possibilité de participer à des programmes de motivation et de toucher une rémunération incitative liée au rendement de l’entreprise et au rendement individuel.

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. Nous proposons également aux employés admissibles différents régimes d’épargne-retraite (y compris des régimes de rente et un programme international d’actionnariat assortie de cotisations patronales de contrepartie) ainsi que des ressources en matière d’éducation et de conseils financiers. Notre généreux programme de congés rémunérés au Canada comprend les jours fériés, les congés annuels, les congés personnels et les congés de maladie, et nous offrons toute la gamme des congés autorisés prévus par la loi. Si vous posez votre candidature à ce poste aux États-Unis, veuillez écrire à recruitment@manulife.com pour obtenir de plus amples renseignements sur les dispositions relatives aux congés rémunérés spécifiques aux États-Unis.