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Build and own the core demand-forecasting models that drive Relay’s parcel-sorting and transport network, blending live tracking with long-horizon predictions to cut delivery costs and improve operational efficiency.
Develops and optimizes deep learning frameworks and GPU kernels for AMD’s AI hardware, focusing on multi-GPU/multi-node performance and integration with frameworks like vLLM and PyTorch.
Czym będziesz się zajmować? Project scope: Write production-ready code and use GPU or CPU resources according to ML workload capacity needs. Architect, automate and orchestrate cloud DevOps and MLOps pipelines. Create…
Build production-grade AI systems with deep learning and generative AI, designing components and services while considering end-to-end system integration and business impact.
Lead a team to build and deploy AI/ML solutions for predictive maintenance, quality control, and process optimization across multiple manufacturing plants using Azure AI, Databricks, and IIoT data.
Designs, develops, and deploys AI/ML models using frameworks like PyTorch or TensorFlow to solve complex mission requirements and business challenges.
Build and deploy ML/AI models for government clients, using Python, TensorFlow, and cloud tools to analyze data and deliver predictive insights.
ARIS is a Process Intelligence company that helps organizations discover, create, and transform their processes to deliver measurable business outcomes and scale AI with confidence. It combines process design, real…
We are looking for an experienced Senior Staff Machine Learning Engineer to join the Risk and Trust engineering organization at Uber. Our team plays a crucial role in empowering users with secure and seamless digital…
Build and deploy LLM-powered multi-agent systems using Google ADK or LangGraph, focusing on RAG, tool use, orchestration, and production-grade reliability.
Designs and builds scalable machine-learning systems on Google Cloud, collaborating with data scientists and engineers to deploy AI solutions and MLOps platforms for enterprise clients.
Build and deploy ML models for creative understanding across vision, video, and language, then ship them into Adobe’s products to power insights and recommendations for marketers and creators.
Develop and optimize embedded audio/video and AI models (CNN, Transformer) for edge devices, supporting customers with Linux-based embedded platforms and system integration.
"Conquering cancer through AI" Lunit, a portmanteau of ‘Learning unit,’ is a medical AI software company devoted to providing AI-powered total cancer care. Our AI solutions help discover cancer and predict…
Design and build AI-driven applications using cloud and on-prem pipelines, integrating generative AI models like LLMs into production-ready solutions.
Build and deploy AI/ML applications using cloud AI services, generative models, and deep learning. Design production-ready pipelines and integrate solutions like chatbots and image processing.
Build production-ready AI systems using cloud AI services, generative models, deep learning, and neural networks for enterprise applications.
Build production-grade AI systems using LLMs, deep learning, and cloud AI services, including GenAI models, chatbots, and image processing.
Build and deploy generative AI models, NLP systems, and deep-learning pipelines on cloud platforms to power business decisions and conversational AI.
Build and deploy AI/ML applications using cloud services like Amazon SageMaker, integrating generative models and deep learning into production pipelines.
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