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Lead the design and delivery of Azure and Microsoft Fabric-based data platforms, building scalable pipelines and models to power analytics and reporting for a financial-services organization.
Builds AI-powered automations to streamline sales and customer success workflows, integrating tools like Salesforce and Redshift with JavaScript.
Builds and maintains AI-powered connectors and enterprise integrations for a global SaaS platform, focusing on authentication, billing, and pricing interfaces.
Build and maintain Salesforce Data Cloud and Databricks data pipelines, integrations, and customer data platforms to enable analytics, personalization, and real-time decisioning.
Designs and builds scalable GCP data pipelines and platforms using ELT/ETL and DataOps practices to support analytics and automation.
Designs and builds scalable data models and pipelines on Google Cloud Platform using BigQuery to power analytics and reporting for a financial services company.
Designs and optimizes Google Cloud data pipelines and models in BigQuery to support analytics and reporting for a financial services company.
Designs and maintains scalable ELT/ETL pipelines, models data, and supports AI/ML initiatives for RACV’s enterprise data platform in Melbourne.
Builds and optimizes Google Cloud data pipelines and BigQuery models to power analytics and ML-driven decisions for a financial services company.
Senior Robotics Software Engineer designs and owns embedded/edge software for autonomous tractors, ensuring safety-critical control, fault tolerance, and reliable autonomy in agricultural fields.
Design and build Google BigQuery-based data models and pipelines for enterprise analytics, transforming complex source systems into scalable, high-quality data assets.
Designs and builds secure, scalable AI services for a federal government project using Azure AI Foundry, Azure OpenAI, Copilot Studio, and AI Agents.
Owns and scales TMGM’s real-time financial data pipelines using Kafka, RabbitMQ, Airflow and ClickHouse to deliver sub-second analytics in a regulated finance environment.
Design and deploy secure, scalable AI solutions for a federal government agency using Azure AI services, agentic frameworks, and RAG to improve service delivery and align with governance requirements.
Drive enterprise AI adoption by scoping high-impact use cases, running technical discovery workshops, and validating feasibility for production deployment with large organizations.
Senior AI Engineer builds secure, scalable AI solutions for a federal government project using Microsoft Azure AI tools, RAG, and agentic applications to enhance productivity and decision-making.
Build and lead the AI-powered product data stack at Finder, from design to deployment, while mentoring engineers and driving cross-team collaboration.
Build and optimize the core execution engine for AI agents that resolve customer support tickets, integrating LLMs, tool calls, and retrieval pipelines in Python on Kubernetes.
Design and implement scalable AI/ML platforms on Databricks Lakehouse, leading data engineering, MLOps, and generative AI solutions for enterprise use cases.
Build and deploy AI models in Python/C#/Scala to drive scalable retail solutions, collaborating with cross-functional teams to deliver measurable business outcomes.
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