Model Policy Manager in Montreal

We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. At Wizards of the Coast, we connect people around the world through play and imagination. From our genre-defining games like Magic: The Gathering® and Dungeons & Dragons® to our growing multiverse, we continue to innovate and build new ways to foster friendship and connection. That’s where you come in! The cloud platform underpins how services are built, deployed, secured, and operated across the organization. As a Principal Cloud Infrastructure Engineer, you will define and drive the governance model and automation strategy for cloud infrastructure. This includes setting policy-as-code standards, automating compliance and cost controls, and ensuring infrastructure is provisioned and operated through consistent, auditable, self-service pathways rather than tailored or manual processes. You will operate at both a strategic and hands-on level and will set direction for how cloud resources are governed and automated while also building the tooling and guardrails that make that direction real. Success in this role means engineering teams can self-service the build and operation of infrastructure with confidence that it is secure, cost-aware, and consistent by default, without slowing delivery down. What you'll do Cloud Governance Define and enforce policy-as-code standards (tagging, naming, encryption, network segmentation, access boundaries) across cloud accounts/subscriptions Establish guardrails using tools such as OPA, Sentinel, AWS Config/Service Control Policies to report on and prevent drift from

Senior Machine Learning Developer Location: Montreal, Quebec, Toronto, or Ontario About Numa Numa is building the platform to power AI-native dealerships, rearchitecting automotive service and sales with advanced AI agents that automate customer interactions, streamline operations, and reimagine how dealerships work. Numa integrates AI into every aspect of dealership functions—from rescuing customer calls and voicemails that generate more revenue, to reducing customer resolution times that drive overall customer satisfaction (CSI), to improving dealership team productivity and accountability. Numa has raised $50 million from leading investors (Google, Threshold, Costanoa, Mitsui, and Touring Capital). The Role We’re hiring a Senior Machine Learning Developer to build and ship ML/AI systems that interact with real customers thousands of times a day. Our voice agents book service appointments, rescue missed calls, and route callers through natural conversations. You’ll work across products and platforms. You’ll ship AI features including prompts, agents, tools, and production ML models, while building the evaluations and tooling that help teams ship with confidence. You’ll also contribute to our ML platform, including model serving, LLM infrastructure, and production observability. At Numa, we believe great ML is about more than building bigger models. It’s about knowing whether a change is good enough to ship. Our evaluation-first approach makes that measurable in CI and production. What You’ll Do Build conversational AI systems for phone and SMS that understand customer needs, take action, and know when to act autonomously Develop tooling such as memory, knowledge graphs, and validated customization that help agents reason and adapt to dealership needs Train, evaluate, and deploy ML models using Ray Serve and Dagster for prediction, classification, ranking, and capacity forecasting, and keep them healthy in production Create offline and online evalua

Location : Montréal, QC. Mode hybride, 3 jours par semaine au bureau/ Hybrid, 3 days per week in-office. *English Version to Follow À propos du rôle : Nous sommes à la recherche d’un(e) Recruteur(se) principal(e) francophone, hautement organisé(e) et axé(e) sur les détails, pour se joindre à notre équipe. Le ou la candidat(e) idéal(e) devra démontrer une expérience en sourcing de candidats et en recrutement complet (cycle complet). Cette personne sera responsable de soutenir les candidats à travers les différentes étapes du processus d’acquisition de talents. Ce rôle exige de fortes compétences organisationnelles ainsi que la capacité de gérer plusieurs tâches simultanément. La collaboration et l’esprit d’équipe, combinés à d’excellentes aptitudes en coordination, sont essentiels pour réussir dans ce poste. À titre de Cadre principal en acquisition de talents, vous serez également responsable d’accompagner et de mentor(er) les membres juniors de l’équipe Talent. L’équipe d’acquisition de talents est responsable du sourcing, du tri, du recrutement, de la sélection, ainsi que de l’apprentissage et du développement de talents juniors destinés à la clientèle d’mthree dans les secteurs des services financiers et commerciaux. Les personnes postulant à ce poste devront être en mesure de gérer divers besoins en recrutement au sein de notre clientèle interne, couvrant un grand nombre de régions géographiques en Amérique du Nord, incluant les États-Unis et le Canada. Vous serez responsable de susciter l’intérêt pour les programmes d’mthree tout en recrutant des candidats de haute qualité et hautement diversifiés pour des postes chez nos clients. Responsabilités : Assurer la livraison constante de candidats diversifiés, de haute qualité et rapidement disponibles pour l’offre mondiale Alumni d’mthree. Gérer le recrutement de bout en bout pour des rôles de niveau junior à intermédiaire/sénior, selon les besoins. Sourcer, présélectionner et évaluer les candidats pour nos clients

Location : Montréal, QC. Mode hybride, 3 jours par semaine au bureau/ Hybrid, 3 days per week in-office. *English Version to Follow À propos du rôle : Nous sommes à la recherche d’un(e) Recruteur(se) principal(e) francophone, hautement organisé(e) et axé(e) sur les détails, pour se joindre à notre équipe. Le ou la candidat(e) idéal(e) devra démontrer une expérience en sourcing de candidats et en recrutement complet (cycle complet). Cette personne sera responsable de soutenir les candidats à travers les différentes étapes du processus d’acquisition de talents. Ce rôle exige de fortes compétences organisationnelles ainsi que la capacité de gérer plusieurs tâches simultanément. La collaboration et l’esprit d’équipe, combinés à d’excellentes aptitudes en coordination, sont essentiels pour réussir dans ce poste. À titre de Cadre principal en acquisition de talents, vous serez également responsable d’accompagner et de mentor(er) les membres juniors de l’équipe Talent. L’équipe d’acquisition de talents est responsable du sourcing, du tri, du recrutement, de la sélection, ainsi que de l’apprentissage et du développement de talents juniors destinés à la clientèle d’mthree dans les secteurs des services financiers et commerciaux. Les personnes postulant à ce poste devront être en mesure de gérer divers besoins en recrutement au sein de notre clientèle interne, couvrant un grand nombre de régions géographiques en Amérique du Nord, incluant les États-Unis et le Canada. Vous serez responsable de susciter l’intérêt pour les programmes d’mthree tout en recrutant des candidats de haute qualité et hautement diversifiés pour des postes chez nos clients. Responsabilités : Assurer la livraison constante de candidats diversifiés, de haute qualité et rapidement disponibles pour l’offre mondiale Alumni d’mthree. Gérer le recrutement de bout en bout pour des rôles de niveau junior à intermédiaire/sénior, selon les besoins. Sourcer, présélectionner et évaluer les candidats pour nos clients

Power BI Developer Outstanding opportunity to join a new Global data innovation and infrastructure lab at a global banking organisation as a Power BI Developer. The successful applicant will serve as an integral member of the team responsible for: Building comprehensive, user-friendly dashboards using Power BI Perform development activities from requirements gathering, dashboard design, required code, testing and ultimate release / deployment of dashboards Research and identify needs, goals, and business models by collaborating with the end users, stakeholders and support partners Review current state of dashboards and identify ongoing improvement opportunities and best practice recommendations Required Skills: Proven advanced skill and experience with Power BI, ideally with Dax and Power Query development ETL / SQL Problem solving / troubleshooting experience /skills to assist Data Analytics team in issue resolution Proven ability to independently champion business intelligence principles with business owners, application owners, data analysts and DBAs Proven ability to handle multiple projects while meeting deadlines and documenting progress towards those deadlines Ability to navigate complex data environments and manipulate large data sets Excellent communication skills (must be able to interface with both technical and business leaders in the organization) Excellent requirements gathering skills Power BI Developer

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft’s Bikes & Scooters team is developing the future of micro-mobility and we are looking for a Mechanical Engineer to come in and help drive the development of our newest vehicles and sustain our fleet in operation. Responsibilities: Drive design decision by collaborating with product, engineering (EE/ME/FW/SW), reliability, and systems engineering teams Lead post-launch sustaining activities intended to support a smooth transition into production while maintaining high quality standards Derive technical architecture and engineering specifications from product requirements Use analysis to support engineering designs Lead sustaining and continuous improvement projects from concept through release and into field operations Work with GSM and Manufacturing teams to vet supply chain and production partners Prototype; create quick experimental mock-ups and meticulous mechanical models Research technologies and scope development opportunities Develop CAD databases and drawing packages, and drive handoff to manufacturers Support the build and test product development cycle, travel required Test failure analysis and solution validation to complete successful product development Conduct field failure analysis and solution evaluation Lead large projects from idea to positive execution Act on feedback to learn and grow Effectively communicate across cross functional teams to achieve results Experience: BS or MS degree in Mechanical Engineering or related technical field, and 5+ years of related industry experience Experience leading the development of a feature or module of a consumer product Strong foundation in mechanical engineering fundamentals, including solid mechanics, electromagnetics, thermodynamics, and knowledge of basic engineering materials and manufacturing processes Experience in perfo

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft’s Bikes & Scooters team is developing the future of micro-mobility and we are looking for a solid, experienced Software Engineer to join our Stations Software Platform team to work on helping us transition our customers to our latest generation platform and to make the platform evolve in a solution that can be brought to multiple different markets and business models. Technical interviews and interactions with the other offices in the company will be in English; however, the working environment in Montreal is bilingual. Responsibilities: Help define the roadmap and architecture based on technology and business needs Write well-crafted, well-tested, readable, maintainable code Have a good grasp and ability to explain the various tradeoffs made in decisions Participate in code reviews to ensure code quality and distribute knowledge Lead projects from idea to positive execution Incorporate considerations for business context and failure modes in your work Proactively participate in resolving ongoing incidents Unblock, support, effectively communicate and obtain buy-in across teams to achieve results Share your knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices Experience: BSc/MSc in Computer Engineering, Computer Science, related field or relevant work experience 5+ years of software engineering industry experience Experience with object-oriented programming Experience in distributed systems Experience with Java and/or Python, familiarity with Scala is a plus Experience working with databases, relational or NoSQL Experience writing clear, scalable and clear design documentation Experience designing, building and improving a set of team owned components Must have a track record of professional excellence Benefits: Extend

About the job Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain.We sit at the intersection of consulting, data science, AI technologies, data engineering, and digital transformation. We do not just advise — we build, implement, and deliver results our clients can measure. Our teams bring together consultants, data scientists, data engineers, AI engineers, analysts, and digital experts to solve complex business challenges with pragmatic, production-ready solutions. As Artefact continues to grow in the US, we are building a team of entrepreneurial data and AI talent who can help clients move beyond experimentation and into scalable, governed, value-generating AI adoption. Who We Are Founded and headquartered in Paris, Artefact is a next-generation consulting firm, specializing in data, analytics & AI consulting, dedicated to transforming data into business impact across the entire value chain of organizations. We are proud to say that we help our clients grow their data and digital capabilities, and that we’re also growing in parallel. We have 2000 employees across 36 offices who are focused on accelerating digital transformation. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts are all dedicated to bringing extra value to every client. We design data-based solutions to meet our clients' specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we've acquired with our 1000+ client base around the globe. Find out more at artefact.com . What you will be doing Artefact is looking for a Senior AI & Data Scientist: a scientist who owns models end to end, from problem framing thr

About Artefact Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain. We sit at the intersection of consulting, data science, AI technologies, data engineering, and digital transformation. We do not just advise — we build, implement, and deliver results our clients can measure. Our teams bring together consultants, data scientists, data engineers, AI engineers, analysts, and digital experts to solve complex business challenges with pragmatic, production-ready solutions. As Artefact continues to grow globally, we are building a team of entrepreneurial data and AI talent who can help clients move beyond experimentation and into scalable, governed, value-generating AI adoption. The Role Artefact is looking for a Senior Deployed AI Engineer specialized in Gemini Enterprise and the Google AI stack: an engineer who works embedded with our clients and takes AI products from idea to production. You will design and build the interfaces, services, and agentic systems at the heart of our client work, such as conversational applications over enterprise data, multi-step agents that automate business workflows, and the retrieval and data pipelines that support them. You will own your components end to end: the front end, the service behind it, the data and retrieval pipelines feeding it, the deployment, and the evaluations proving it works. This role combines deep, certified expertise in Google's enterprise AI stack (Gemini models, Vertex AI, and the Gemini Enterprise agent platform) with the ability to deliver end to end. Beyond your platform specialization, you will be expected to work confidently across the full delivery lifecycle — full-stack development, data engineering, cloud infrastructure, evaluation, and client communication. You will work closely with our clients, with direct exposure from the start, and you will support the professional

We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Chez Wizards of the Coast, nous créons des liens entre des personnes du monde entier grâce au jeu et à l’imagination. De nos jeux emblématiques comme Magic: The Gathering® et Dungeons & Dragons® à notre multivers en pleine expansion, nous innovons sans cesse pour favoriser l’amitié et les échanges. C’est là que vous entrez en jeu! La plateforme Cloud soutient la façon dont les services sont conçus, déployés, sécurisés et exploités à l’échelle de l’organisation. À titre d’ingénieur principal, plateforme Cloud, vous définirez et piloterez le modèle de gouvernance et la stratégie d’automatisation de l’infrastructure Cloud. Vous établirez des normes de politiques sous forme de code, automatiserez les contrôles de conformité et de coûts, et veillerez à ce que l’infrastructure soit provisionnée et exploitée au moyen de processus cohérents, auditables et en libre-service, plutôt que par des approches manuelles ou sur mesure. Vous interviendrez autant sur le plan stratégique que pratique. Vous orienterez la gouvernance et l’automatisation des ressources Cloud tout en créant les outils et garde-fous nécessaires à leur mise en œuvre. Votre succès permettra aux équipes d’ingénierie de construire et d’exploiter leur infrastructure en libre-service, avec l’assurance qu’elle est sécurisée, rentable et cohérente par défaut, sans ralentir la livraison. Ce que vous ferez Gouvernance Cloud Définir et appliquer des normes de politiques sous forme de code pour le balisage, la nomenclature, le chiffrement, la segmentati

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is seeking a Financial Analyst to join our FP&A team supporting Lyft Urban Solutions (bikeshare and micromobility), focusing on financial planning, RFP bid modeling, and strategic analysis. The ideal candidate will bring strong financial modeling expertise, attention to detail, a bias for action, and the ability to operate effectively with ambiguity. Combined with a continuous improvement mindset, this foundation will support strategic decision-making at Lyft. In addition to analysis in support of strategic decision-making, this role will also focus on financial close management and reporting. Responsibilities: Own core FP&A activities: budgeting, forecasting, variance analysis, and monthly financial reporting for leadership Support monthly close processes: reconcile actuals to budget, identify and explain variances, validate accruals, coordinate with Accounting Synthesize financial data from multiple sources (Oracle, fleet systems, P&L data) into clean, well-documented models Maintain and improve financial forecasting models and reporting processes Identify and implement process improvements to reduce manual effort, increase automation, and improve data accuracy and transparency Partner with Ops and Commercial teams on RFP requirements, cost assumptions, and financial modeling for bid scenarios Build comprehensive financial models for RFP bids: 10 year projections covering fleet sizing, capital deployment, unit costs, and profitability Conduct scenario analysis and sensitivity testing on RFP models to stress-test assumptions and inform decision-making Create and present financial analyses, decks, and leadership summaries communicating performance, insights, and recommendations Experience: Strong business acumen and ability to partner effectively across Operations, Commercial, and Fi