Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Job Description WHAT IS THE OPPORTUNITY? Are you a talented, creative and results-driven professional who thrives on delivering high-performing applications? Come join us! Global Functions Technology (GFT) is part of…
AI Solution Architect on a 6-month hybrid contract in Ottawa, designing and building secure, scalable AI agents and RAG pipelines in a Microsoft-first environment using Copilot Studio, Azure AI Foundry, and Semantic Kernel.
Design and develop scalable real-time and batch data pipelines using Kafka, Spark, Flink, Databricks, and AWS to power insights and personalization at a global ecommerce marketplace.
Builds and maintains backend services for RBC’s metadata management platform, focusing on Python, MongoDB, and RESTful APIs to ensure data governance, compliance, and scalability in financial services.
Lead ML engineer delivering ML-powered features for Autodesk's Digital Customer Platform and eCommerce systems, mentoring team members and translating business requirements into ML solutions using the Python ML stack.
Develops and scales automated frameworks for Android XR app compatibility, integrating AI/ML (LLMs, computer vision) to detect UI/rendering issues across physical devices, emulators, and cloud environments. Works with Android XR teams and third-party developers to improve XR app experiences.
Design and build advanced agentic AI systems (self-improving agents) for a VC-backed startup whose buyer-side AI platform runs inside major financial institutions, using Python/TypeScript with TensorFlow or PyTorch.
Builds and maintains data pipelines, databases, and AI classification systems for public-interest journalism databases used by researchers and journalists.
Senior ML Software Engineer at RBC Borealis in Toronto, building and scaling machine learning products (generative AI, NLP, time series) across the full lifecycle from data processing to production deployment, primarily using Python.
Co-op ML software engineer at RBC Borealis in Montreal working end-to-end from data preprocessing and implementing machine learning algorithms to front-end development, with exposure to reinforcement learning, unsupervised learning, and computer vision.
ML Software Engineer at RBC Borealis in Toronto owning end-to-end delivery of ML solutions—from data preprocessing and algorithm development to production deployment and monitoring—primarily using Python.
About Pratt & Whitney Canada Pratt & Whitney Canada (P&WC) is a global leader in aerospace innovation, proudly headquartered in Longueuil, Quebec, since 1928. We design and manufacture next-generation…
Co-op ML Software Engineer building end-to-end AI solutions from data pre-processing through deployment, working on reinforcement learning and computer vision projects.
Designs and implements ETL pipelines to extract, transform, and load data between systems, collaborating with PMs, BAs, and DBAs to ensure seamless data integration across Unix/Linux environments using Informatica, Python/Perl, and RDBMS tools.
Lead AI Software Engineer at RBC's Global Functions Technology division in Vancouver, designing and implementing AI/LLM-powered solutions and big data processing pipelines for regulatory reporting workflows on cloud platforms.
Develops AI/ML solutions for fintech products, prototyping generative AI, NLP, and time-series models while collaborating with business teams to integrate research into scalable software.
Lead AI Software Engineer within RBC's Global Functions Technology, designing and building AI/ML-powered applications and big data solutions for US Regulatory Reporting. Core technologies include cloud platforms (Azure/AWS/OpenShift), AI/LLM frameworks (LangChain, MCP servers), and data engines (Snowflake, Databricks, Spark).
Cloud platform engineer deploying and managing Azure Databricks workspaces with Unity Catalog, designing Terraform IaC, configuring networking, and governing access via Azure AD/RBAC.
DevOps/Cloud Engineer responsible for designing and maintaining reliable, automated, and scalable cloud environments, CI/CD pipelines, and containerized deployments to support organizational growth.
Design and scale large-scale, data-intensive backend systems and REST APIs, mentor engineers, and improve cloud infrastructure using TypeScript, Node.js, Python, C#, and AWS.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
