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Build full-stack apps with Python, React, and Node.js, integrating AI/ML solutions and deploying on AWS/OpenShift for enterprise clients.
Design and integrate GenAI/agentic AI solutions (RAG, MCP, workflows) with developer platforms and automotive middleware, using Python, LLM frameworks, and MLOps tooling.
Build AI-powered engineering tools that streamline storage device design, testing, and manufacturing using Python, React, REST APIs, and LLM/RAG pipelines.
Lead the engineering and deployment of production-grade generative AI systems, including LLMs and multimodal models, with a focus on scalability, reliability, and MLOps in an enterprise energy-tech environment.
Build and deploy ML/AI models (including GenAI) for pricing, personalization, and fraud detection in a restaurant-tech SaaS platform.
Traduire un besoin métier en cas d’usage IA qui tient la route, c’est le cœur de votre métier — et c’est aussi le nôtre. Chez Smile, le Product Owner IA n’aligne pas des fonctionnalités : il garantit que la solution…
Build and optimize ML models, LLMs, and RAG systems using Python, TensorFlow, and PyTorch, and deploy them on cloud platforms like AWS or Azure.
Build and deploy LLM-based applications using frameworks like PyTorch and Hugging Face, focusing on NLP and large language models such as LLaMA.
Build autonomous AI agents and data pipelines using LangChain/LangGraph or Google Vertex AI Agent Builder to automate analytics and decision-making at scale.
Build C++/Python frameworks and APIs to run Vision and Generative AI models efficiently on custom AI accelerators, optimizing performance and integrating with compiler/runtime teams.
Build and scale a real-time AI voice-to-voice web app for clinicians, integrating LLMs and optimizing performance for thousands of concurrent sessions.
Lead a team to design and deliver AI/ML solutions for Workday products, including predictive analytics and generative AI, while mentoring staff and managing line responsibilities.
Build and deploy AI/ML models end-to-end on AWS, packaging models as microservices and exposing them via secure APIs for production use.
L’IA chez Smile, ce n’est pas un buzzword : c’est une pratique. Des modèles et des cas d’usage ouverts, performants et durables, pensés pour passer en production — pas des PoC qui finissent au tiroir. On bâtit sur des…
Build and maintain AI-driven knowledge representation systems for healthcare supply chains, including entity resolution, knowledge graphs, and LLM-assisted extraction pipelines.
Build and maintain an NLP/LLM pipeline that extracts entities from financial news and disclosures, links them to a financial ontology, and powers RAG/Graph RAG features for evidence-backed answers in a securities trading platform.
Build and deploy AI-driven tools and dashboards for Tencent’s global IT and game systems, while researching ML models and maintaining cloud infrastructure.
Build and ship ML models end-to-end for financial-data enrichment and risk decisions, using Python, PyTorch, and cloud-native tooling.
Lead the design and deployment of production-grade AI/ML solutions, including generative AI, LLMs, and agentic systems, to drive measurable business impact in Johnson & Johnson’s MedTech supply chain.
Build and deploy AI solutions (ML, generative AI, agentic workflows) in Python, integrating with enterprise systems to solve business problems and move prototypes to production.
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