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Devops engineer Jobs in Saint-Jerome, QC
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Devops engineer • saint jerome qc
Enterprise Solution Architect
Aversan Inc.Bas-Saint-Laurent, Canada, CASr. Full Stack Engineer - Canada
Knotch, Inc.QC, CA- Promoted
Développeur .NET
TréviMirabel, Quebec, CanadaDesign Engineer
E-SolutionsMirabel, QCVision engineer
St-AmourMonteregieManufacturing Quality Engineer
Celeros Flow TechnologyBurlington, QC, CAQA Engineer
Produit Folie Canada Inc.Remote, QuebecRAMS Engineer
CS GROUPQC, caMrb Stress Engineer
Capgemini EngineeringMirabel, Canada, CAProject Engineer
Stelia Aerospace North America, Inc.Mirabel, QC, United StatesEngineer Intern
Prysmian GroupSt Jerome, QCAircraft Performance Engineer
Cuso InternationalLes Îles-De-La-Madeleine, Canada, CA- Promoted
Mining Engineer
SGS Canada IncBlainville, Québec, Canadaaerospace systems engineer
mtls aerostructureQC, CAStress Engineer
AXISCADESMirabel, Canada, CAProject Engineer
OcéanQuébec, CADéveloppeur DEVOPS
FX INNOVATIONRemote, Quebec- Promoted
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Data Engineer
Vaco by HighspringMirabel, Quebec, CanadaEnterprise Solution Architect
Aversan Inc.Bas-Saint-Laurent, Canada, CA- Full-time
Aversan Inc. (www.Aversan.Com) is a trusted multi-service engineering and electronics manufacturing company. Aversan delivers leading-edge and reliable safety-critical electronics and software systems to the aerospace, defence, and space industries.We are currently seeking a qualified IT Solutions Architect. The role involves designing and implementing scalable IT solutions that integrate Big Data, AI, and MLOps, enabling efficient data processing, AI-driven insights, and streamlined machine learning operations for optimized business performance.Location : St. Laurent, QCJob Type : HybridResponsibilities- Architecture Design : Develop scalable, end-to-end solutions that integrate big data and AI to solve complex business problems.- Big Data Expertise : Provide technical guidance on big data platforms, covering ingestion, storage, processing, and analytics.- AI Integration : Architect AI-powered solutions by implementing machine learning and deep learning models to enhance decision-making and automation.- MLOps Implementation : Establish and maintain MLOps pipelines for seamless deployment, monitoring, and lifecycle management of ML models in production.- Collaboration : Work closely with data scientists, engineers, and business stakeholders to align technical solutions with business objectives.- Technical Leadership : Mentor teams and promote best practices in big data, AI, and MLOps adoption.- Continuous Learning : Stay updated with emerging technologies and assess their relevance for improving business operations.Basic Qualifications- Certifications in relevant areas such as AWS Certified Solutions Architect, Google Cloud Professional Data Engineer, or Microsoft Certified : Azure AI Engineer Associate.- Experience with containerization technologies such as Docker and Kubernetes, and their application in AI and MLOps workflows.- Knowledge of DevOps practices and tools for continuous integration and deployment (CI / CD).