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Build and maintain robust data pipelines and cloud data platforms, preparing data for AI systems and ensuring quality and governance for analytics and agentic use cases.
Build and scale cloud services for Responsible AI at Microsoft, integrating safety, governance, and monitoring into Azure AI systems and multimodal content pipelines.
Build and maintain data pipelines, integrate generative AI models, and deploy solutions on cloud platforms using Python, SQL, Databricks, and Azure.
Build and own a scalable Azure-based data lake and analytics platform, from ETL pipelines to embedded BI and future ML/GenAI exploration for industrial clients.
Build and optimize AWS data pipelines for enterprise clients, focusing on automation, cloud-native tooling (Spark, Airflow, Terraform), and scalable data platforms to enable analytics and business insights.
Build and maintain CI/CD pipelines, cloud infrastructure, and security hardening for enterprise clients using AWS/Azure/GCP, Linux, and DevOps tooling.
Build and maintain CI/CD pipelines and cloud infrastructure for client projects, focusing on automation, security hardening, and DevOps best practices across AWS, Azure, and GCP.
Build AI-driven applications end-to-end using Python/FastAPI, Supabase, and TypeScript, leveraging tools like Cursor and prompt engineering to architect robust, scalable solutions for enterprise clients.
Build and maintain full-stack .NET/C# back-end and Angular front-end features for TF1’s advertising products, integrating LLMs and AI tools to accelerate development and automate workflows.
Développeur full stack contribuant à des projets Microsoft 365 avec intégration de services IA comme Azure OpenAI, en équipe dès la conception.
Build and ship generative-AI and agentic applications embedded in business tools, integrating LLM gateways and deploying full-stack solutions with React/Vue frontends, Node.js backends, and agent frameworks like LangChain.
Build and scale the backend API, database, and mobile app using Node.js, PostgreSQL, and Flutter; integrate cloud services and AI APIs while improving performance and reliability.
Build and maintain full-stack .NET applications for a retail-focused client, using C#, .NET Core, Angular/React, and Azure DevOps.
Builds an internal AI platform that integrates LLMs into Streem’s engineering workflows, turning real-world energy data into production-ready code and tools for renewable-asset operations.
Build and maintain AI-powered developer tools and infrastructure to streamline product teams' workflows using Node.js, Python, and modern frameworks like Angular 18.
Build and scale the backend of an AI-powered language-learning platform using Python, PostgreSQL, FastAPI, and modern LLMs; integrate AI coding agents into the development workflow.
Build and maintain monitoring connectors in Perl (and future Rust) for Centreon’s infrastructure-supervision platform, integrating with APIs, SNMP, and SDKs while improving performance and usability.
Build and maintain .NET backend APIs and microservices while integrating AI features like LLM, RAG, and embeddings using Azure OpenAI and related tools.
Senior DevOps engineer builds and scales GPU-powered AKS/EKS clusters for LLM inference and fine-tuning, automates CI/CD pipelines, and implements GenAIOps observability and cost controls.
Builds and deploys Python-based backend services for banking software, integrates LLMs via LangChain/LangGraph, and optimizes AI workflows with cloud APIs.
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