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Build and deploy deep-learning models in Python (PyTorch/TensorFlow) that generate billions of supply-chain predictions daily, collaborating with engineering and product teams.
Kesempatan Kami mencari AI Application Engineer yang berpengalaman dan bersemangat untuk bergabung dengan tim kami di PT Indostar Security. Sebagai AI Application Engineer, Anda akan memainkan peran penting dalam…
Design and deliver training in data engineering, visualization, and science using SQL, Python, Spark, Tableau, and cloud platforms to upskill professionals.
Build and deploy AI models: clean datasets, train neural networks, convert models to APIs, and integrate them into apps and cloud systems.
Position Overview Senior Manager Data and AI at Qatar Airways Group in Doha, Qatar leads the definition and execution of a long‑term data and artificial intelligence strategy to support MATAR business growth,…
Design and deploy GenAI solutions (RAG, LLMs) with Python and ML libraries, collaborating with stakeholders to solve business use cases while ensuring data security and compliance.
Build and deploy AI/ML models and NLP systems using Python, PyTorch, and scikit-learn to create self-learning applications and scalable AI solutions.
Lead a team building scalable data pipelines and AI-driven analytics using Python, Spark, and PyTorch to process large-scale datasets for enterprise clients.
Lead a team of senior developers, set architecture for large-scale projects, and integrate AI/ML into government-focused systems using Python, React, cloud platforms, and modern AI frameworks.
Build and optimize tiny, ultra-efficient AI models for on-device computer vision and multimodal LLMs, shipping features like People Detection and Video Search to millions of cameras.
Research and develop state-of-the-art AI models for embedded devices, focusing on computer vision and multimodal LLMs to enable features like people detection and video search.
Build and deploy NLP models to extract insights from large legal text datasets, collaborating with engineers and annotators in a startup-like team within a large data company.
Build and maintain large-scale data pipelines and deep learning models to drive AI-driven insights for semiconductor and IoT solutions, using Python, TensorFlow/PyTorch, and cloud platforms.
Develops and optimizes a Python-based machine learning framework for search, ads, and recommendation systems using TensorFlow/PyTorch.
Design and build scalable Python back-end services in cloud environments, lead AI/GenAI initiatives using libraries like TensorFlow and LangChain, and mentor teams on clean code and best practices.
Build and deploy ML models and deep-learning systems in Python, integrating them into production apps and APIs while collaborating with cross-functional teams.
Staff Data Scientist at Mozn builds and deploys NLP models and AI strategies to extract insights from large datasets, collaborating with leadership and engineering to drive data-driven decisions.
Design and deploy AI/ML models (predictive, NLP, computer vision) for enterprise use cases, collaborating with stakeholders to deliver end-to-end analytics solutions on large-scale data.
Data Scientist builds predictive models and dashboards in Python/R with Power BI, working with stakeholders to turn business needs into data-driven insights and solutions.
Design and implement AI solutions for enterprise clients, integrating GenAI, NLP, and multimodal systems while optimizing algorithms and reducing latency.
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