Job Title

Associate Machine Learning Engineer page is loaded Associate Machine Learning Engineer Postuler locations Toronto, Ontario time type Temps plein posted on Publi il y a 6 jour(s) time left to apply Date de fin: 25 juillet 2025 (Il reste 7jours pour postuler) job requisition id JR25061757 The Associate Machine Learning Engineer will join the Group AI 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. Position 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. Required Qualifications: 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. Preferred Qualifications: 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. When you join our team: Well empower you to learn and grow the career you want. Well recognize and support you in a flexible environment where well-being and inclusion are more than just words. As part of our global team, well support you in shaping the future you want to see. #LI-Hybrid propos de Manuvie et de John Hancock La Socit Financire Manuvie est un chef de file mondial des services financiers qui aide les gens prendre leurs dcisions plus facilement et vivre mieux. Pour en apprendre plus notre sujet, rendez vous ladresse . Manuvie est un employeur qui souscrit au principe de lgalit daccs lemploi Chez Manulife/John Hancock nous valorisons notre diversit. Nous nous efforons dattirer, de perfectionner et de maintenir une main d''oeuvre qui est aussi diversifie que nos clients, et de favoriser la cration dun milieu de travail inclusif qui met profit la diversit de nos employs et les comptences de chacun. Nous nous engageons assurer un recrutement, une fidlisation, une promotion et une rmunration quitable s , et nous administrons toutes nos pratiques et tous nos programmes sans discrimination en raison de la race, de lascendance, du lieu dorigine, de la couleur, de lorigine ethnique, de la citoyennet, de la religion ou des croyances ou des convictions religieuses, du genre (y compris grossesse et affection lie une grossesse), de lorientation sexuelle, des caractristiques gntiques, du statut dancien combattant, de lidentit de genre, de lexpression de genre, de lge, de ltat matrimonial, de la situation de famille, dune invalidit ou de tout autre motif protg par la loi applicable. Nous nous sommes donn comme priorit dliminer les obstacles laccs galitaire lemploi. Cest pourquoi un reprsentant des Ressources humaines collaborera avec les candidats qui demandent accommodement raisonnable pendant le recrutement. Tous les renseignements communiqus pendant le processus de demande d''accommodement seront stocks et utiliss conformment aux lois et aux politiques applicables de Manuvie. Pour demander une mesure daccommodement raisonnable dans le cadre du recrutement, crivez . Rgion de rfrence du salaire Toronto, Ontario Modalits de travail Hybride Lchelle salariale devrait se situer entre $60,900.00 CAD - $113,100.00 CAD Si vous posez votre candidature ce poste en dehors de la rgion principale, veuillez crire pour obtenir lchelle salariale correspondant votre rgion. Le salaire varie en fonction des conditions du march local, de la gographie et de facteurs pertinents lis au poste telles les connaissances, les comptences, les qualifications, lexprience et lducation ou la formation. Les employs ont galement la possibilit de participer des programmes de motivation et de toucher une rmunration incitative lie au rendement de lentreprise et au rendement individuel. Manuvie offre aux employs admissibles une vaste gamme davantages sociaux personnalisables, notamment une assurance soins mdicaux, soins dentaires, sant mentale, soins de la vue, invalidit de courte et de longue dure, assurance vie et assurance DMA, assurance adoption, de maternit de substitution et de soins mdicaux non urgents ainsi que des programmes daide aux employs et leur famille. Nous proposons galement aux employs admissibles diffrents rgimes dpargne-retraite (y compris des rgimes de rente et un programme international dactionnariat assortie de cotisations patronales de contrepartie) ainsi que des ressources en matire dducation et de conseils financiers. Notre gnreux programme de congs rmunrs au Canada comprend les jours fris, les congs annuels, les congs personnels et les congs de maladie, et nous offrons toute la gamme des congs autoriss prvus par la loi. Si vous posez votre candidature ce poste aux tats-Unis, veuillez crire pour obtenir de plus amples renseignements sur les dispositions relatives aux congs rmunrs spcifiques aux tats-Unis. Emplois similaires(3) Machine Learning Engineer locations 2emplacements time type Temps plein posted on Publi il y a 13 jour(s) time left to apply Date de fin: 19 juillet 2025 (Il reste 1jour pour postuler) Senior Data Scientist locations Toronto, Ontario time type Temps plein posted on Publi il y a 14 jour(s) time left to apply Date de fin: 20 juillet 2025 (Il reste 2jours pour postuler) Senior Data Engineer locations 2emplacements time type Temps plein posted on Publi il y a 14 jour(s) time left to apply Date de fin: 19 juillet 2025 (Il reste 1jour pour postuler) About Us #J-18808-Ljbffr