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Lead a team to build and scale a Microsoft Fabric-based data platform, designing pipelines, models, and integrations to support DCC Energi’s green-energy transition and business insights.
Lead a team building and optimizing enterprise-scale data pipelines, warehouses, and feature stores to power AI/ML and analytics at a global healthcare leader.
Lead a team to design and build enterprise-scale data pipelines and architectures for AI/ML use cases in a global healthcare company.
Lead a Databricks-based data platform, designing scalable pipelines, governance, and standards while mentoring engineers and aligning solutions with business goals.
Designs and builds data ingestion pipelines, transforms raw data for analysis, and optimizes cloud-based data systems using Python, SQL, and ETL tools like Apache Airflow.
Build and maintain scalable data pipelines and products on Databricks using Python, PySpark, and SQL to support business decisions and data governance.
Build and maintain scalable data pipelines and products on Databricks using Python, PySpark, and SQL to support business decisions.
Build and scale an AI-powered edtech platform using TypeScript, Vue 3, and modern cloud tools; either focus on polished frontend UX or design robust AI pipelines and backend services.
Build and scale Alice’s AI-powered edtech platform, either as a frontend-focused full-stack engineer or an AI/backend specialist integrating LLMs, vector DBs, and orchestration pipelines in TypeScript.
Build and scale an AI-powered edtech platform using TypeScript/Vue 3 on the frontend and Node.js/tRPC backend, with LLM pipelines and agentic workflows.
Build and maintain scalable data pipelines and backend systems in Python/SQL to power Hakio’s climate-focused fashion supply-chain platform on GCP.
Lead QA for enterprise ETL/data-ingestion pipelines, designing automated tests for Snowflake, AWS S3, and data-warehouse integrations.
Lead architecture and development of secure, scalable healthcare platforms integrating AI models, multi-modal databases, and real-time data pipelines for clinical insights.
Data Analyst at BP builds dashboards, analyzes energy-sector data, and partners with engineers to automate data pipelines using SQL, Python/R, and big-data tools.
Build and deploy enterprise AI systems like RAG pipelines and AI assistants using Python, LLMs, and vector databases; optimize performance and integrate APIs for production environments.
Architect enterprise-grade data and AI solutions for an insurer, designing cloud-native pipelines, Databricks lakehouses, and Agentic AI systems while aligning with insurance domains like IFRS17 and actuarial needs.
Senior engineer building secure, high-throughput web platforms and backend services for health-focused AI and data pipelines.
Build and deploy AI-driven solutions, including LLM integrations, RAG, and agent-based workflows, while engineering scalable data pipelines and maintaining production systems.
Build and maintain scalable data pipelines and curated data assets for agency servicing use cases, ensuring reliability, auditability, and governance while collaborating with cross-functional teams.
Designs and scales the backend platform for smart-meter data ingestion and processing, ensuring reliability and performance for billing-critical IoT systems.
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