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Build and scale the backend platform that powers AI-driven travel experiences, integrating ML models and vector search for real-time personalization at global scale.
Build and maintain the core Python/FastAPI platform and PostgreSQL database that powers a health-tech scale-up, handling patient medication records, prescription workflows, and secure IAM with strict audit and compliance requirements.
Build and optimize open-source AI models (VinaSmol) and RAG systems, focusing on Vietnamese language support and hallucination detection using Python, React, and ML/NLP techniques.
Build internal AI-powered tools and automation for a retail-tech company, shipping full-stack apps from prototype to production using coding agents and ML models.
Design and maintain CRM and AI-driven automation workflows using GoHighLevel and n8n to optimize client pipelines and reporting.
Build and maintain AI models and data pipelines to analyze manufacturing data and drive insights for a plastic packaging company.
Build and maintain automated test frameworks for a B2B fintech platform, focusing on payment workflows, APIs, and CI/CD integration using Go/Python/JavaScript.
Build and maintain cloud data infrastructure, orchestrate ETL/ELT pipelines, and support AI initiatives for a creative transformation agency.
Build and maintain ETL pipelines, optimize MongoDB schemas, and create Metabase dashboards to power AI-driven travel rental analytics and reporting.
Build internal tools for a SaaS energy-management platform serving large real-estate groups, working full-stack on backend and frontend while integrating CRM and AI automation.
Build and maintain scalable cloud infrastructure for AI-driven automation workflows, ensuring reliability and high availability for hybrid human-AI systems.
DevOps Engineer to design, deploy, and maintain AI infrastructure using Kubernetes, Docker, and LLMOps tools like Ollama and LangChain, ensuring scalable, secure systems for logistics and industrial clients.
DevOps Engineer building and scaling AI infrastructure (LLMOps) with Kubernetes, Docker, and NVIDIA CUDA on Linux, automating deployments and integrating Python/Java services.
Build and maintain core backend services in Java/Spring Boot for a fast-growing health-tech company, handling auth, file storage, and integrations on AWS and Kubernetes.
Designs and refines AI prompts to improve LLM outputs, integrates APIs, and builds chatbot flows using tools like n8n or Make.
Lead a team to build and optimize Databricks-based ETL/ELT pipelines using Python/SQL, Delta Lake, and cloud platforms (Azure/AWS/GCP) for large-scale data processing.
Lead a Databricks-based data engineering team to build and optimize ETL/ELT pipelines, Delta Lake tables, and cloud data warehouses using Python, SQL, and Azure/AWS/GCP.
Build and evolve Roche’s internal AI Agentic Platform, designing scalable agentic workflows, reusable components, and enterprise integrations for secure, compliant AI solutions in healthcare.
Build and maintain the internal platform that runs e-commerce services, focusing on GCP, Kubernetes, CI/CD, observability, and AI-driven tooling to support developers and data teams.
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