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Our Business: Engineered Intelligence Inc. is a power infrastructure technology company focused on delivering advanced analytics and AI-driven solutions for electric utilities and critical infrastructure organizations.…
Forward-deployed ML engineer partners with clients to deploy Mistral’s AI models, fine-tuning and integrating them into production systems while bridging technical and business stakeholders.
Develop AI-driven robotic assembly and inspection systems using vision, PLC communication, and data analytics to boost line efficiency and quality.
Design and build Microsoft Fabric data lakes and an enterprise data warehouse, integrating ERP data to power analytics and reporting for a university.
Build a cloud-based fintech SaaS that streamlines private fund investing with features like identity verification, document signing, and investor portals using TypeScript, SvelteKit, Node, and AWS.
Principal architect leading the design of AI-native, large-scale software platforms, from ideation to release, using generative and agentic AI across the full product lifecycle.
Design, deploy, and govern AI solutions for HR processes using enterprise platforms like Copilot Studio, ensuring compliance with financial-sector AI standards.
Build and maintain Power BI dashboards and reports to turn HR and business data into strategic insights for a top Canadian IP law firm.
Builds and maintains a cloud-native SaaS product on Microsoft Azure using C#/.NET, designing AI-first workflows with agents like GitHub Copilot to accelerate development, testing, and debugging.
Build and lead enterprise-scale AI systems, including multi-agent and RAG solutions, while driving innovation and scaling prototypes into production for Thomson Reuters’ AI-first transformation.
Principal Data Engineer designs and maintains scalable, self-hosted data pipelines and databases for a game studio, ensuring robust performance and compliance.
Build and refine predictive models in Python and R to extract insights from complex datasets and guide business decisions at an AI-first company.
Build and scale real-time computer vision infrastructure for AR, including pipelines, deep learning models, and optimization in C++/Python.
Join Mecka AI as a Web Application Engineer and create advanced tools for robotics data processing. Your skills will help define the future of AI by making egocentric data more accessible. In this role, you’ll design…
Build and maintain automated test frameworks for AI/ML services, mentor developers on testing practices, and ensure robust quality coverage for scalable cloud platforms.
Senior engineer building and scaling cloud-based AI data platforms using SQL/NoSQL and Azure, while collaborating on clean, maintainable code and system architecture.
Build automated data pipelines and metrics to improve Waabi’s self-driving AI models, curating datasets and analyzing performance for next-gen autonomous vehicles.
Designs and maintains ETL pipelines, manages databases, and deploys data infrastructure on Kubernetes for a Toronto-based tech solutions provider.
Designs and owns the architecture of a large-scale AI-powered data extraction platform, ensuring high reliability and guiding engineering teams.
Builds and leads AI-powered conversational products for enterprises, designing ML/LLM systems for voice assistants and customer service interfaces.
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