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Maintains clean, accurate Salesforce data for global sales and finance teams by validating, enriching, and automating data processes, using SQL, Python, and AI to prevent downstream revenue blockages.
Build and refine AI-powered decision products and analytics for a wealth-management firm, using Power BI, Python, and Microsoft Fabric to turn data into actionable insights.
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.
Build and run AI-powered, cloud-native infrastructure for game development, focusing on AIOps, observability, and secure event-driven automation using AWS CDK and DevSecOps practices.
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.
Build and deploy production-grade ML systems for utility operations, focusing on time-series forecasting, anomaly detection, and geospatial intelligence with MLOps and cloud/on-prem deployments.
Build and ship full-stack features for a ticketing and experience platform, using Go/Node.js/Python, React, GraphQL/REST, and AI-assisted tools like Cursor.
Designs and enforces secure cloud architectures in Azure (and AWS) while monitoring for threats, ensuring compliance and guiding a healthcare-focused consulting firm’s global migration to the cloud.
Position Summary As a Software Quality Engineer (IC IV) and member of a multi-functional Agile team, you will identify user-centric scenarios and build & execute automation to ensure quality across our scientific…
Owns finance systems architecture and automation at a fast-growing fintech, integrating Jira Service Management with core platforms and embedding AI into financial processes.
Role: Manager – Collections Campaign and StrategyReports to: Senior Manager, Collections Operations & StrategyStatus: Regular, Full TimeDepartment: Credit & CollectionsLocation: Markham, ON (Hybrid)Travel:…
Build and test ML models for autonomous heavy machinery, benchmark performance, and run ablation studies to improve digging accuracy and reliability.
Lead a fraud-detection team building ML models to protect an affiliate-marketing platform from attribution fraud, lead fraud, and emerging threats like browser-extension abuse.
Designs and implements cloud-based data platforms for an insurance-focused company using Azure Synapse, Cosmos DB, and Power BI to support analytics, governance, and regulatory compliance.
Senior Data Analyst builds dashboards in Apache Superset, defines KPIs, and analyzes logistics operations to uncover cost savings and revenue opportunities across haulage, warehousing, and freight.
Senior analyst designs A/B tests, ML models, and dashboards to optimize foodpanda’s marketing spend and growth tactics using SQL, Python, and BI tools.
Build and deploy large-scale AI foundation models for machine-generated data (logs, graphs, time series) to improve reliability, security, and predictive insights across Splunk’s observability and security platforms.
Build and run Absa’s multi-cloud AI platform, deploying and scaling services on AWS Bedrock, Databricks, Azure AI Foundry, Hugging Face, and Kubernetes to power enterprise AI use cases across the bank.
Design and run Absa’s multi-cloud AI platform (AWS Bedrock, Databricks, Azure AI Foundry) that powers 43 live AI projects across ten African countries, focusing on FinOps, zero-trust security, and agentic AI infrastructure.
Build and maintain scalable, secure Java/Spring microservices and DevOps pipelines for Barclays’ liquidity platforms, using Kafka, SQL/NoSQL, and GitLab CI/CD.
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