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Senior ML Engineer builds and optimizes computer-vision models for QSR drive-thru analytics and loss prevention, deploying lightweight AI on edge hardware.
Build and deploy AI agents and multimodal models (text + vision) to modernize smart buildings and infrastructure, using Python, LLMs, and cloud-native pipelines.
Develops and integrates NVIDIA’s embedded software for camera and display systems on Tegra platforms, including driver porting, platform bring-up, and optimization for automotive or embedded use cases.
Design, build, train, and deploy predictive models using machine learning and deep learning to solve business problems, with a focus on regression, classification, NLP, and computer vision using Python, TensorFlow/PyTorch, and SQL.
Staff Software Engineer at Visa in Bengaluru building AI-native features (RAG, generative AI) and full-stack Java/Python applications for the Value-Added Services platform.
Build and deploy AI-powered transport applications for Singapore's land transport network, integrating LLMs, computer vision, and agentic systems while ensuring reliability and safety in production.
Lead a team building and deploying AI/ML systems for banking, focusing on LLMs, RAG pipelines, and agentic workflows to enhance customer experiences and internal tools.
We are seeking a high-energy sales manager with an excellent track record of winning and influencing business in a Telecom industry! We are the world leading in the accelerated computing and artificial intelligence, so…
Design and build AI-powered applications using generative models, deep learning, and cloud/on-prem pipelines to create production-ready solutions like chatbots and image processors.
Build and deploy AI/ML models and MLOps pipelines using cloud AI services, Docker, FastAPI, and MLflow. Focus on production-grade systems, CI/CD, and model lifecycle management.
Build production-grade AI systems using cloud AI services, generative models, and deep learning frameworks like TensorFlow or PyTorch.
Build and deploy AI/ML applications using cloud services and GenAI models, focusing on production-ready pipelines and MLOps practices.
Design and build AI-powered applications using cloud/on-prem pipelines, applying generative models (LLMs) and other AI techniques like deep learning and chatbots.
Build production-grade AI systems using cloud AI services, GenAI models, and MLOps pipelines; deploy deep learning models and mentor teams.
Design and deploy enterprise-grade AI solutions using Generative and Agentic AI frameworks, integrating intelligent insights into workflows to drive business transformation.
Design and build AI-driven applications using cloud AI services, generative models, and deep learning. Lead teams to deliver production-ready solutions and mentor junior engineers.
Build and maintain production-grade AI pipelines, deploy generative models, and monitor LLM performance using cloud-native tools and MLOps practices.
Build production-ready AI systems using cloud AI services, LLMs, and deep learning frameworks like TensorFlow/PyTorch, integrating solutions like chatbots and image processing.
Lead HP’s Finance data strategy, building trusted, AI-ready data foundations and governance to enable analytics and automation across global Finance teams.
Define and execute the Finance data strategy, establish governance, and build scalable data products to enable AI, automation, and advanced analytics for HP’s Finance organization.
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