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Quality Assurance Automation Engineer
Build and maintain AI-powered QA automation frameworks using Selenium, Java, and REST APIs to test web apps and APIs in CI/CD pipelines.
AI Engineer
Build and deploy AI models, RAG pipelines, and agentic systems to detect cyber threats and automate security operations using Python, LLMs, and vector databases.
Product Owner (AI) (Only T4)
Own AI-powered voice telephony and contact-center features (IVR, IVA, agent-assist) using Generative and conversational AI to improve customer and agent experiences.
Technical Delivery Manager - AI
Lead AI delivery for a Fortune 100 retail client, managing cross-functional teams to deploy generative AI and ML solutions across customer service, marketing, supply chain, and commerce.
Principal Data and AI Architect
Principal Data & AI Architect designs enterprise-scale AI and data architectures, focusing on Salesforce’s Agentforce and Data Cloud, and guides customers through implementation and scaling.
AI Security Engineer, Senior
Senior role designing and enforcing AI and API security controls, reviewing LLM-based systems for prompt-injection and data risks, and drafting secure-by-design standards aligned with NIST and OWASP.
Senior Software Engineer, Full-Stack Applications - AI Innovation Teams
Build AI-powered full-stack applications for credit analysis using Java/Spring Boot, Python, and React, integrating generative AI to transform financial workflows in a greenfield Toronto innovation hub.
Senior Data & AI Analyst
Build AI-powered decisioning products and optimize Power BI reporting for a wealth-management firm, using Python, SQL, and Microsoft Fabric to turn data into actionable insights.
AI Solutions Developer - (GenAI / OpenAI)
Build and integrate GenAI features using OpenAI APIs to auto-generate audit-ready client summaries from structured data for financial-crime compliance, focusing on prompt engineering, backend integration, and responsible-AI guardrails.
Senior Machine Learning Engineer
Build and deploy generative AI and agentic systems to transform credit analysis at a top global ratings agency, using modern ML stacks and proprietary financial data.
Principal AI Engineer
Principal AI Engineer builds and deploys low-latency AI systems for a Canadian brokerage, integrating LLMs into trading platforms, fine-tuning models on market data, and architecting autonomous agent workflows for portfolio management.
Lead AI Engineer
Lead a team to build and deploy AI pipelines that detect emerging travel risks using LLMs, NLP, and geospatial analysis in AWS Bedrock and OpenAI.
Staff Developer - AI/ML
Lead Benevity’s AI/ML strategy, designing scalable GenAI systems, LLM-powered features, and MLOps pipelines to deliver measurable business value from model training to production monitoring.
Lead Data Scientist
Lead the design, development, and deployment of AI/ML models and generative solutions to solve complex business problems, guiding cross-functional teams through the full data science lifecycle.
Senior AI Solutions Architect
Design and deploy production-grade AI/ML systems for Modaxo’s mobility portfolio, focusing on scheduling, LLMs, and predictive analytics while ensuring scalability and regulatory compliance.
Machine Learning Engineer
Build and deploy ML models to optimize inventory and fulfillment for an ecommerce platform, collaborating with data and engineering teams to improve operational efficiency.
Senior Platform Engineer, AI
Build and scale GenAI platforms and agent-based architectures for financial clients, integrating APIs and orchestration layers using Python/TypeScript/Go on Azure and Kubernetes.
Expert, AI Engineer- EN
Designs, builds, and deploys enterprise AI solutions, agents, and intelligent workflows using LLMs, RAG, and cloud platforms like Vertex AI and Databricks.
Lead Data Scientist
Lead a team to design, build, and deploy AI/ML models (including GenAI and agentic systems) for fintech use cases using Python, PySpark, and cloud platforms like AWS/Azure.
Lead AI Engineer
Lead a small team to design, build, and deploy production-grade generative AI systems using Python, RAG pipelines, vector databases, and cloud platforms while mentoring engineers and aligning solutions with business goals.