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Principal Data and AI Platform Architect
Principal Data & AI Platform Architect designs and builds Azure Databricks-based data pipelines, medallion architectures, and governed analytics solutions to power AI-driven insights for a multi-clinic healthcare provider.
[SX/EIT-MM] Data & AI / AI Agent Engineer Intern
Build and maintain data pipelines and AI applications using Python, LLMs, RAG, and vector databases on Databricks for Generative AI and AI Agents.
Associate Machine Learning Engineer
Build and deploy scalable ML models for finance using Python, Spark, and cloud platforms like Azure ML and Databricks.
Data Analytics and Management Associate
Build and maintain scalable data pipelines and analytical datasets for financial reference data using Snowflake, Databricks, Spark, and Iceberg in AWS/GCP/Azure.
Principal Data Scientist
Lead enterprise AI/ML and generative AI initiatives, designing and deploying LLM-based solutions, setting strategic roadmaps, and mentoring teams to drive scalable, secure AI adoption in a large financial services firm.
Senior Solution Architect
Design and implement enterprise-scale Databricks Lakehouse architectures, lead client engagements, and optimize Spark-based pipelines for secure, high-performance AI and data workloads.
Senior Data Engineer
Build and maintain scalable data pipelines on Databricks and Azure, using PySpark/Scala and SQL to process manufacturing or energy data for analytics and reporting.
BAP - Data Analyst
Data Analyst Intern supporting SQL-based pipelines, data standardization, and analytics workflows for Binance’s risk and data team.
Data Scientist
Analyze supply-chain datasets to build predictive models and dashboards that power AI-driven logistics intelligence for clients.
Senior Data Scientist
Build predictive maintenance and fleet-optimization models from mining-equipment sensor data using Python, ML, and time-series techniques; create dashboards to guide operational decisions.
Senior Manager, Engineering AI / ML
Work Location: Toronto, Ontario, Canada Hours 37.5 Line Of Business Technology Solutions Pay Details $149,500 - $183,500 CAD The pay details posted reflect a temporary market premium specific to this role that is…
Senior Data Scientist
Senior Data Scientist builds and deploys advanced analytics and ML models for a Toronto crown corporation’s capital markets unit, translating business challenges into scalable data solutions and driving data-driven decisions.
Lead Agentic AI Engineer – VP (Mississauga)
Lead the design and deployment of agentic AI systems for Citi’s banking operations, using Python, Google ADK, LangChain, and LLMs to automate workflows and reduce risk.
Manager, Engineering - AI/BI
About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence…
Expert, AI Engineer
Design and deploy enterprise AI solutions, agents, and RAG workflows using Python, SQL, and cloud platforms like Vertex AI and Databricks to automate and enhance CN’s logistics operations.
lululemon Principal AI/ML Engineer
Principal AI/ML Engineer at lululemon designs and builds enterprise-scale AI platforms and generative AI solutions, leading technical strategy and MLOps for retail-focused systems.
Principal AI/ML Engineer
Principal AI/ML Engineer at Lululemon designs and builds enterprise-scale AI platforms, generative AI solutions, and MLOps infrastructure to transform retail operations and customer experiences.
Principal AI/ML Engineer
Principal AI/ML Engineer defines and builds enterprise-scale AI systems, generative AI solutions, and MLOps platforms to transform lululemon’s retail operations and customer experiences.
Lead Data Scientist
Lead the design and deployment of production-grade AI/ML solutions, including generative AI, LLMs, and agentic systems, to drive measurable business impact in Johnson & Johnson’s MedTech supply chain.
Data Science & AI Delivery Lead
Lead AI delivery at an insurance firm: oversee GenAI/RAG projects, Python-based ML development, MLOps, and team operations while driving production deployments on Azure.