Langue requise : Français (maîtrise orale et écrite) Heures de travail par semaine : 40 heures Type de poste : Hybride – Montréal (2 jours/semaine sur site, centre-ville) Durée de la mission en mois : 12
Lead ML Engineer – Cloud AI, MLOps & Agentic AI Location: US / Canada (Remote/Hybrid) Type: Contract / Full-Time Overview: We are looking for a Lead ML Engineer to drive enterprise AI initiatives, focusing on MLOps, GenAI, and
About the role In this role, you will architect and deliver perception systems that power intelligent robotics solutions for enterprise clients - from sensor fusion and computer vision to real-time AI pipelines running at the edge
Job Title: Machine Learning Engineer (BFSI) Position Overview: The ML Engineer will develop, deploy, and optimize machine learning solutions supporting fraud detection, risk analytics, customer intelligence, and financial forecasting. Key Responsibilities: Develop machine learning models and pipelines.
Job Title: MLOps Engineer (BFSI) Position Overview: The MLOps Engineer will establish scalable machine learning operations frameworks and automate the deployment, monitoring, and governance of AI models. Key Responsibilities: Build ML deployment pipelines. Implement CI/CD for machine
Job Title : Machine Learning Engineer (Energy) Industry Energy & Utilities Position Overview The ML Engineer will develop and deploy machine learning models supporting predictive maintenance, energy demand forecasting, asset optimization, and renewable energy production analytics. Responsibilities
The Opportunity “As a Senior Engineer on our Applied AI team, you will be at the forefront of building AI-powered software that transforms how our platform operates. You will design, build, and maintain production-grade applications and
Experience Level: Expert (15+ years or niche expertise) Role Description We are looking for a Senior Software Developer to support the Cyber Security portfolio within Cyber Data Risk & Resilience (CDRR). The consultant will contribute to
Elevate your career as a Mid-Level AI Engineer with SageBeans RPO in Red Deer, Alberta. This full-time hybrid position focuses on AI infrastructure and cloud engineering, integrating AWS and Azure technologies. At SageBeans RPO, were seeking
# AI Engineer / Cloud EngineerSageBeans RPOFull TimemidHybridRed Deer, Alberta, CAPosted Yesterday# Role OverviewSageBeans RPO is hiring a mid-level AI Engineer / Cloud Engineer. This is a full-time hybrid role, based in Red Deer. Part of
Job Title: Machine Learning Engineer Location: Remote- Canada Duration: Contract Rate : CAD$100-110/hr INC What Youll Do Architect and implement advanced deep learning models for multimodal recommendation systems, processing diverse data types including text, images, user