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Designs and develops instructor-led and virtual training programs for corporate clients, focusing on AI tools and workplace technologies to upskill employees.
Design and deploy secure, scalable cloud infrastructure on GCP for enterprise customers, guiding migrations and modernizations while optimizing for performance and cost.
Build and scale high-performance ML systems for real-time fraud detection using PyTorch/TensorFlow and multi-GPU training pipelines, while mentoring engineers and shaping data architecture.
Design and build scalable data pipelines and lakehouse architectures using Python, Spark, Kafka, and cloud platforms to enable real-time analytics and ML workflows.
Build and optimize low-latency ML inference pipelines and LLM tools to automate trading workflows, using PyTorch, TensorRT, and cloud GPUs.
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.
At Spaceium, we are building spacecraft systems designed to push the boundaries of what's possible in orbit. As an AI Engineer, you will develop intelligent systems that enable autonomous decision-making, anomaly…
Lead a team building generative AI and deep learning models (NLP, computer vision) to solve business problems across claims, marketing, and other departments.
Build and maintain scalable data pipelines that securely connect enterprise data with GenAI platforms like Azure OpenAI and AWS SageMaker, ensuring compliance and high-quality AI workloads.
Builds and fine-tunes diffusion models to generate and style product photos for an online fashion catalog, then deploys them with MLOps/backend teams.
Build and deploy AI-powered applications and models, including LLMs and agentic systems, using Python and full-stack development skills.
Build and deploy AI-powered expert systems for legal, tax, and compliance using RAG, custom agents, and MLOps/LLMOps pipelines in Python and cloud environments.
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…
Design and deploy deep learning models (LLMs, CNNs, GANs) for image, text, or signal data, optimizing architectures and addressing bias and overfitting in production.
Build and deploy ML models using Python, TensorFlow/PyTorch, and MLOps tools; integrate AI features into products and optimize performance.
Senior engineer building AI features end-to-end—from prototype to production—across full stack, AI layers, and healthcare domain, using agentic tools like Claude Code and modern frameworks.
Build and deploy production-grade ML models, LLM integrations, and automation pipelines for enterprise clients using Python, TensorFlow/PyTorch, and cloud platforms.
Build and deploy production-grade AI systems using RAG, agentic frameworks (LangGraph, AutoGen), and vector search (Azure AI Search, pgvector) with Python and cloud tools.
Build and optimize ML models, LLMs, and RAG systems using Python, TensorFlow, and PyTorch, and deploy them on cloud platforms like AWS or Azure.
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