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Who we are Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more…
Location: [Thailand] We Are: RTB House is a next-generation performance demand-side platform (DSP) that uses proprietary Deep Learning AI algorithms to help brands grow. The company is the market leader in driving…
Develops and optimizes AI models for real-time identity verification, facial recognition, and object detection, deploying them across embedded, edge, and cloud systems.
Designs and builds machine learning models to analyze data and improve product performance, working 2 days per week from an HPE office in Bengaluru using Python, TensorFlow, and related tools.
Leads advanced analytics and data science projects for JP Morgan’s internal audit team, prototyping AI/ML solutions to enhance control testing, efficiency, and risk insights—bridging technical expertise with stakeholder collaboration.
Senior AI scientist building and deploying ML models for public-health and forensic research, mentoring teams, and publishing findings to drive real-world impact in New Zealand.
Design and build AI-driven applications using cloud AI services and generative models, integrating them into production-ready pipelines.
Design and build AI-powered applications using cloud services and generative models, ensuring production-ready quality and integrating deep learning, chatbots, and image processing.
Build production-grade AI systems using ML tools, cloud AI services, and generative models like deep learning and neural networks for enterprise solutions.
Design and build AI-powered applications using cloud services and on-prem pipelines, integrating generative models and deep learning into production systems.
Design and build AI-driven data applications in Snowflake using Cortex AI, Cortex Functions, and Cortex Search for semantic search, LLM-powered transformations, and intelligent data retrieval.
Build and deploy AI/ML models for financial applications, including NLP and Knowledge Graphs, on AWS while maintaining scalable cloud infrastructure and data pipelines.
Leads technical engagement with AI startups and software partners in Southern Europe, evangelizing NVIDIA’s GPU platforms for AI agents, generative AI, and multimodal applications across industries like manufacturing, healthcare, and automotive. Focuses on adoption strategies, community building, and mentorship for developers.
Build and deploy NLP, deep learning, and RAG models to automate financial analytics workflows, integrating data pipelines and cloud MLOps on AWS.
Build and deploy AI-driven applications using generative models, deep learning, and cloud AI services. Design production-ready pipelines and integrate AI into systems.
Build and deploy AI-driven applications using cloud AI services, generative models, and deep learning frameworks like TensorFlow or PyTorch.
Design and build AI-powered applications using generative models, deep learning, and cloud/on-prem pipelines to deliver production-ready solutions.
Build AI-powered applications and cloud pipelines using GenAI, deep learning, and neural networks, ensuring production-ready quality and collaborating across teams.
Build production-ready AI systems using cloud AI services, generative models, and deep learning frameworks like TensorFlow or PyTorch.
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