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Build and deploy ML/AI models (including GenAI) for pricing, personalization, and fraud detection in a restaurant-tech SaaS platform.
Build and deploy enterprise-grade AI and ML solutions, including Generative AI apps with LLMs, RAG, and vector databases, to solve complex business problems for SAP customers.
Build and deploy enterprise-grade AI and ML solutions for SAP customers, integrating LLMs, RAG, and vector databases into production systems.
Build and scale ML pipelines to normalize telematics data, detect anomalies, and forecast metrics for logistics and insurance workflows using time-series and geospatial models.
Build and scale LLM-powered AI agents and RAG systems for a digital bank, focusing on secure, observable microservices and production-grade AI workflows.
Build and train ML/DL models, optimize them for performance, and create scalable PySpark data pipelines using Python, PySpark, and Scikit-learn.
Build and maintain large-scale ML platforms and AI solutions for Allegro’s 10M+ user marketplace using Python, PyTorch, and Google Cloud’s Vertex AI and Kubernetes.
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 deploy ML models using Python, TensorFlow/PyTorch, and MLOps tools; integrate AI features into products and optimize performance.
Build and deploy production-grade ML models, LLM integrations, and automation pipelines for enterprise clients using Python, TensorFlow/PyTorch, and cloud platforms.
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 ML models for translation-related tasks using Python, TensorFlow, and cloud tools in an office-based role.
Build and deploy AI/ML perception systems for autonomous robots and drones, fusing sensor data to enable safe navigation in warehouses and industrial settings.
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.
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 predictive and diagnostic risk models for credit, financial, and operational domains using Python/R and statistical/ML techniques to guide business decisions.
Build and deploy ML models to detect and prevent fraud in global payments, using Python, SQL, and frameworks like TensorFlow/PyTorch.
Designs and optimizes Neo4j graph models for banking data, applies Graph Data Science algorithms to detect fraud, and builds real-time investigation dashboards for AML and Risk teams.
Designs and optimizes Neo4j graph models for banking data to detect fraud and money-laundering patterns using GDS algorithms and Bloom dashboards.
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