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This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a MLOps / AI Infrastructure Engineer based in India. As an MLOps / AI Infrastructure…
Build, deploy, and operationalize end-to-end machine learning solutions using Azure ML, Databricks, and Python while managing MLOps pipelines and model lifecycles.
Build and operate the cloud and platform infrastructure for enterprise AI solutions powered by Claude/Anthropic at a ServiceNow consulting partner, spanning LLMOps, RAG pipelines, containers, CI/CD, and ServiceNow integrations.
Builds and maintains scalable AI platforms integrating Anthropic’s Claude models, enabling secure, governed enterprise AI solutions with RAG, agentic workflows, and enterprise data integrations.
Builds and operates secure, scalable AI platforms for enterprise LLM apps, RAG, and agentic workflows using cloud-native tools and ServiceNow integrations.
AI Platform Engineer building secure, scalable cloud infrastructure for Claude-powered enterprise AI solutions on ServiceNow, spanning LLMOps, RAG pipelines, DevOps, and governance across AWS/Azure/GCP.
Design and deploy enterprise AI solutions—RAG, agentic workflows, ML models—connecting Claude and LLMs with ServiceNow and enterprise data systems using Python, SQL, and major cloud platforms.
Architect and deploy enterprise AI solutions—especially Claude/Anthropic-powered agentic AI, RAG, and LLM applications—integrated with ServiceNow and enterprise data systems, combining AI/ML architecture, cloud solution design, and technical leadership.
Architect and deploy enterprise AI solutions—RAG, agentic workflows, and Claude/LLM integrations—on ServiceNow and cloud platforms for a consulting partner.
Designs and deploys scalable agentic AI architectures for enterprises, integrating Anthropic’s Claude with ServiceNow, enterprise data, and workflows. Focuses on RAG, LLM orchestration, security, and responsible AI deployment.
Own the roadmap for AI-powered autonomous agents and multi-agent systems, turning cutting-edge tech into customer-centric products integrated with ServiceNow.
Lead a data science team to build AI-native solutions for supply chain optimization, demand forecasting, and inventory management using Python, SQL, and big data technologies in the retail sector.
About T-Mobile: T-Mobile US, Inc. (NASDAQ: TMUS), headquartered in Bellevue, Washington, is Americas supercharged Un-carrier, connecting millions through its strong nationwide network and flagship brands, T-Mobile and…
Introduction At IBM Global Sales, we bring together innovation, collaboration, and expertise to help clients solve their most complex business challenges. Working across industries and geographies, you’ll partner with…
Join Fortinet, a cybersecurity pioneer with over two decades of excellence, as we continue to shape the future of cybersecurity and redefine the intersection of networking and security. At Fortinet, our mission is to…
Who We Are Looking For We are seeking an AI Solution Architect, Vice President to serve as a senior technology leader responsible for shaping and driving the AI strategy for our Internal Audit function. In this role,…
Role Overview We are seeking a skilled AI Engineer to design, develop, deploy, and optimize AI-powered solutions that drive business value. The ideal candidate will have expertise in Machine Learning, Generative AI,…
Join Our Mission: To Save the World from Unsafe Mobile Apps! NowSecure is the mobile app security software company trusted by the world’s most demanding organizations and most advanced security teams. As the…
Lead a team to build and deploy enterprise-grade AI/ML models and solutions, driving innovation and aligning AI strategy with business goals.
Senior Deep Learning Engineer builds and deploys advanced perception models for cloud and edge devices, focusing on 3D vision, video/temporal behavior, or vision-language models using PyTorch, CUDA, and NVIDIA stacks.
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