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Leads contact center testing and automation for PwC’s global clients, designing test suites for IVR, chatbots, and AI-driven workflows while managing teams and ensuring quality in CCaaS deployments.
Owns ML products end-to-end, from problem definition to production deployment and impact measurement, focusing on canonical data, entity resolution, retrieval/ranking, and applied LLMs for career transition tools.
Lead a team building AI-driven services and platform capabilities, designing scalable cloud-native systems and agentic workflows using Python and GCP.
Lead the design and delivery of AI-driven services and platform capabilities, partnering with teams to build secure, scalable agentic systems in a cloud-native environment.
Designs and implements enterprise-scale AI solutions, focusing on agentic systems, RAG architectures, and model provider integrations to build scalable, production-grade AI systems for media applications.
Develops and deploys advanced Generative AI solutions (LLMs, multimodal models) for healthcare operations, focusing on prompt engineering, model optimization, and ethical AI practices.
Designs and optimizes GPU-powered infrastructure for GenAI/LLM workloads, focusing on distributed training, performance tuning, and Kubernetes/OpenShift deployments.
An AI Engineer at AIEH develops AI solutions for industry partners while mentoring AI apprentices in Singapore’s AI ecosystem, bridging research and real-world applications.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping…
Designs and oversees AI infrastructure architectures (K8s-based) for NVIDIA, focusing on performance, scalability, and integration of AI workloads across hardware/software ecosystems.
The SME Platform Engineer will design and manage secure, on-premises cloud infrastructure to support AI/ML workloads and data science platforms. The role focuses on Kubernetes orchestration, GPU cluster management, and CI/CD automation within a high-security government environment.
The SME Platform Engineer will lead the design and management of secure, on-premises cloud infrastructure to support AI/ML workloads and data science platforms. The role focuses on Kubernetes orchestration, GitOps methodologies, and maintaining high-performance GPU clusters within a secure, FIPS-compliant environment.
The Principal Applied AI Engineer will design and implement AI-driven agents and conversational workflows to optimize contact center operations for GE Appliances. The role involves architecting scalable solutions using LLMs, RAG, and cloud infrastructure to automate customer service interactions and transactional processes.
Amazon Web Services (AWS) is looking for a sr. Manager, Applied to join the Quick Science team. Quick is AWS’s enterprise generative AI assistant that helps users answer questions, summarize documents, generate…
The Data Scientist will develop machine learning and analytical solutions to monitor and improve the performance of LEO satellite user terminals. This role involves managing datasets for LLMs, creating performance visualizations, and collaborating with cross-functional engineering teams to identify and resolve hardware and system failures.
Responsibilities: Responsible for Application setup, managing software build and Release deployments Strong knowledge on Cloudera NiFi, JBoss setup, Performance fine tuning and Cloudera master and worker nodes setup…
About the role The Process Integration team is focused on the incorporation of all processes in manufacturing for high yield and best quality/CT eWLB products. This position reports to Director, Process Engineering and…
Staff AI Solutions Engineer building and deploying scalable AI/ML and GenAI solutions (RAG, LLM orchestration) across onsemi's business functions, using Azure ML, LangGraph, MLflow, and enterprise integrations.
Lead end-to-end deep learning and graph neural network solutions on Databricks Lakehouse, driving AI strategy and mentoring teams at a major grocery retailer.
Build and operate scalable ML training systems and pipelines on AWS and Kubernetes, optimizing GPU-based workloads, enabling Gen AI/LLM fine-tuning workflows, and improving platform reliability and developer experience.
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