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Design and deploy AI solutions to optimize logistics workflows, using LLMs and GenAI tools to streamline project delivery and cross-functional coordination.
Build and improve AI-powered financial research tools using LLM, RAG, vector search, and agentic workflows for a market intelligence platform.
Research Data Scientist builds generative AI and LLM models for crypto trading, focusing on reasoning under market uncertainty and agent coordination using Python and PyTorch.
Research and develop core AI technologies, optimize deep learning models, and deploy large-scale systems while applying AI across industries like 5G/6G, healthcare, and finance.
Design and optimize large-scale AI models, build deep-learning architectures, and deploy end-to-end AI systems using TensorFlow/PyTorch and Python/C++.
Build and optimize distributed ML training/inference pipelines for low-latency trading systems using PyTorch, CUDA, and GPU acceleration.
Senior ML engineer builds multimodal medical imaging AI systems—foundation models, report generation, lesion detection—using Python/PyTorch and collaborates with clinicians to deploy in hospitals.
Build and optimize LLM and RAG systems for SaaS platforms, integrating AI-driven features like automated due diligence and document analysis using Python, SQL, and Transformers.
Build and optimize AI models (RAG) to solve financial-services problems, collaborating with teams to integrate solutions and analyze data using Python/TensorFlow.
Build backend services and APIs for supply-chain data products, integrating AI/ML (LLMs, diffusion models) into production systems while owning deployment, monitoring, and maintenance.
Part-time coach teaching Python, AI, and robotics to students using PyTorch/TensorFlow and hands-on hardware projects in an edtech startup.
Part-time coach in Hong Kong teaching AI, data science, and robotics to students using Python, PyTorch, or TensorFlow, developing curricula, and guiding hands-on projects.
Build and optimize speech AI models (ASR, diarization) and pipelines, deploy ML services, and improve accuracy/latency for production systems.
Lead enterprise AI adoption by designing governance frameworks, productivity KPIs, and automated acceptance platforms to evaluate and scale AI solutions across finance and operations.
Build and deploy scalable speech AI systems, training and optimizing ASR, diarization, and analytics models using PyTorch and modern ML toolkits.
Deploys and maintains AI/ML models, builds data pipelines, and integrates solutions using Python, TensorFlow/PyTorch, and cloud AI services.
Build and optimize speech AI models (ASR, diarization) for medical applications, including data pipelines, training, and inference in Python/PyTorch.
Build and deploy large language models using Python/Java, TensorFlow/PyTorch, and AWS cloud services to enhance AI capabilities.
Build and scale backend services for a global retail supply-chain platform, integrating AI/ML features using Python, PyTorch, and Scikit-learn.
Builds and maintains full-stack web apps while integrating AI/Generative AI models to enhance user experiences and functionality.
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