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Builds full-stack AI applications using GenAI models, cloud services, and modern web tech to create conversational interfaces, admin portals, and AI orchestration pipelines.
Builds and deploys AI/ML solutions in Python, focusing on LLMs for automated, data-driven business processes and scalable backend services.
Build and deploy AI/ML models, especially LLMs, to power data-driven business decisions using Python and cloud services.
Build and deploy ML models to optimize travel experiences, revenue, and targeting for a 50M+ user platform using Python, R, SQL, and deep learning.
Build and deploy AI models for content personalization, newsroom automation, and recommendation systems using Python, TensorFlow/PyTorch, and cloud platforms.
Build and fine-tune AI features, models, and agents using Python and Hugging Face to power an HR platform that simplifies global hiring and payroll.
Senior Data & ML Engineer builds automated data pipelines, a central SSOT database, and AI/ML-ready data models to support reporting, analytics, and machine learning across the business.
Build and evaluate LLM and agent-based AI systems for mining software, using PyTorch and ML evaluation frameworks to improve model reliability and performance.
Attend a global AI conference in Dubai focused on deep learning, reinforcement learning, and machine learning research presentations and networking.
Design and implement AI algorithms and machine learning models in Python/Java/C++ to build AI-driven software applications.
Build ML/AI models to optimize asset-management strategies and fintech products using blockchain, tokenization, and NFT data.
Internship in AI/ML and quantum computing with a path to full-time work; build models in Python and libraries like TensorFlow/PyTorch.
Build and deploy production-grade AI/ML models using Python, TensorFlow, PyTorch, and MLOps tooling for scalable, real-world applications.
Build and deploy ML models for financial forecasting, risk analysis, and strategic decision-making using Python, time-series techniques, and cloud platforms.
Design and deploy AI/ML models, including LLMs and GenAI, to solve healthcare data challenges using Python, cloud platforms, and MLOps.
Advise clients on data challenges, design scalable AI solutions, and build production-ready ML pipelines using cloud tech and frameworks like PyTorch.
Build and deploy ML/AI models (recommenders, NLP, GenAI agents) for clients using Python, cloud platforms, and frameworks like PyTorch and LangGraph.
Build and maintain cloud-based data pipelines and infrastructure using Python and ETL tools to process large-scale datasets for top Dutch tech clients in fintech, healthcare, and e-commerce.
Build full-stack Android predictive-maintenance features using Kotlin, Compose, and ML models (TensorFlow/PyTorch) to detect hardware/software issues before they occur, spanning device kernel to cloud.
Build and deploy LLM-based AI systems for an AI-driven recruitment service, including recommendation engines and generative AI pipelines.
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