Job Title

Machine Learning Engineer page is loaded Machine Learning Engineer Postuler locations Toronto, Ontario time type Temps plein posted on Publi il y a 2 jour(s) time left to apply Date de fin : 1 dcembre 2024 (Il reste 16 jours pour postuler) job requisition id JR24091090 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 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 Manuvie/John Hancock, nous embrassons notre diversit. Nous nous efforons dattirer, de perfectionner et de maintenir un effectif qui est aussi vari 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 quitables, 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 une mesure dadaptation raisonnable pendant le recrutement. Tous les renseignements communiqus pendant le processus de demande de mesures damnagement seront stocks et utiliss conformment aux lois et aux politiques applicables de Manuvie/John Hancock. Pour demander une mesure damnagement raisonnable dans le cadre du recrutement, crivez . Rgion principale Toronto, Ontario Semaine de travail comprime Hybride Lchelle salariale devrait se situer entre $74,270.00 CAD - $137,930.00 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 (2) Senior Data Engineer locations Toronto, Ontario time type Temps plein posted on Publi hier time left to apply Date de fin : 1 dcembre 2024 (Il reste 16 jours pour postuler) Senior Full Stack Software Engineer/Coach, Engineering Transformation locations 2 emplacements time type Temps plein posted on Publi il y a 23 jour(s) time left to apply Date de fin : 15 novembre 2024 (Il reste 14 heures pour postuler) About Us #J-18808-Ljbffr