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Senior AI/ML scientist building production-grade models for demand forecasting, personalization, and generative AI at a global athletic-apparel retailer.
Hands-on Director of Engineering at RBC Toronto leading AI/ML initiatives—embedding models, knowledge graphs, RAG, and LLM governance—while coding 60% of the time with Python, React, Node, and Ansible on enterprise banking applications.
The Staff AI Engineer will design and build production-grade agentic AI and generative AI systems, including MCP servers and RAG pipelines, to transform enterprise workflows at RBC. The role involves setting technical direction, mentoring engineers, and ensuring the reliability and safety of AI agents in a large-scale production environment.
Tata Consultancy Services (TCS) is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce…
The Staff Data Scientist will lead projects and mentor junior staff while building complex statistical models and production-ready code to support global security initiatives. The role utilizes Python, Spark, and advanced statistical techniques to solve ambiguous problems within a financial services environment.
Leads AI/ML engineering for a fintech SaaS platform, designing scalable automation solutions (e.g., predictive analytics, NLP, anomaly detection) to streamline workflows and enhance client outcomes.
Data Scientist modeling complex housing analytics problems and building automated analytical systems using statistical methods, NLP, ML, and DL, while communicating insights to senior leadership.
This role involves building and scaling interactive, high-performance web applications for radiology, utilizing modern frontend technologies like React and TypeScript to help doctors interact with medical images.
The Backend Software Engineer will build data-intensive services and APIs to support medical imaging and radiology applications using Python and Django. The role involves collaborating with cross-functional teams to architect scalable solutions and mentor junior engineers.
The Product Engineer will build full-stack tools for AI data annotation and workflow automation using TypeScript, Node.js, GraphQL, and React. This role involves collaborating with cross-functional teams to develop scalable infrastructure that supports generative AI and computer vision research.
Build and deploy AI/ML models in Python using TensorFlow/PyTorch to power business products, integrating them via cloud platforms and MLOps pipelines.
The AI Solution Architect will design and deploy RAG frameworks and AI agents to automate workflows and analyze market data using LLMs. The role focuses on the application layer, utilizing Python and orchestration frameworks like LangChain to integrate AI into trading and risk systems.
This senior machine learning engineer role involves designing, developing, and testing machine learning and deep learning systems, with a specific focus on NLP and BERT models. The position is a one-year onsite contract based in Toronto.
Wizpresso is hiring a Junior Machine Learning Operations Engineer to build and maintain scalable infrastructure for deploying NLP and deep learning models into production. The role involves managing CI/CD pipelines, monitoring system performance, and collaborating with cross-functional teams to support financial technology solutions.
Wizpresso is seeking a full-stack software engineer to design and develop enterprise SaaS applications using C#, ASP.NET Core, Python, and web technologies. The role involves collaborating on system architecture, UI/UX design, and integrating AI-driven features to improve financial market workflows.
Talents Tide is looking for a Manager – Training ( UAE National) Location: Dubai, UAE Function: Human Capital Reporting To: Executive Director – Human Capital Role Overview Talents Tide is supporting one of its clients…
This role involves designing and developing cloud-native microservices using Angular, React, and Spring Boot while leveraging AI-driven frameworks for automation and code analysis. The developer will work onsite in Toronto to build, test, and optimize scalable applications throughout the full software development lifecycle.
The Senior Machine Learning Engineer will develop and optimize NLP models, specifically focusing on BERT and transformer-based architectures, using Python and deep learning frameworks like TensorFlow or PyTorch. This is a hybrid contract role based in Toronto requiring expertise in model fine-tuning and data preprocessing.
Job Purpose: To lead the strategic planning, development, and management of the banks Customer Relationship Management (CRM) platforms and Cognitive Technologies (like AI and automation) to enhance customer engagement…
The Data Science Developer will build and automate cloud-based data pipelines, lakehouse structures, and analytics models for Public Health Ontario. The role leverages Azure technologies, Python, and SQL to support public health surveillance, forecasting, and decision-making.
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