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Builds and deploys enterprise-grade AI solutions using Generative AI, LLMs, RAG, and AI agents, from design to production on cloud platforms.
Designs and deploys enterprise-grade AI/ML solutions, focusing on Generative AI, LLMs, RAG, and AI agents using Python, TensorFlow/PyTorch, and cloud platforms.
Design and evaluate cutting-edge AI models for a research initiative, focusing on machine learning and natural language processing tasks using Python and frameworks like PyTorch or TensorFlow.
Build and lead a secure, cloud-native data platform at Salesforce that ingests security signals from multiple sources, integrates AI/ML for risk analysis, and automates remediation using Java, Spark, and AI tools.
SUMMARY OF THE ROLE As an AI Algorithm Scientist within the Enterprise Architecture team of Commercial IT , you will play a key role in advancing AstraZeneca’s Enterprise AI Platform and accelerating AI adoption across…
Lead the AI product strategy and roadmap for financial services, building AI-powered experiences for retirement plan participants, advisors, and plan sponsors while ensuring compliance in a regulated environment.
Consultant in Milan designing and building generative-AI and agentic solutions for insurance clients, using Python, cloud AI platforms, and modern AI frameworks.
Junior role in Deloitte’s Bari office building GenAI and agentic AI solutions for insurance clients, using Python, LLM frameworks, and cloud services.
Designs and deploys private AI systems for document intelligence and legal automation using LLMs, RAG, and GPU infrastructure in a law firm setting.
Builds and deploys AI/ML and GenAI models for cloud applications using Python, PyTorch/TensorFlow, and MLOps tools like MLflow and Langfuse.
Lead a team of data scientists to build AI-powered analytics for The Home Depot’s supplier platform, integrating GenAI, LLMs, and predictive models to drive data-driven decisions.
Lead product strategy for Equinix’s conversational AI and agent platforms, shaping chat, voice, and agentic interfaces while evaluating cutting-edge AI technologies and guiding technical decisions.
Senior Full Stack AI Developer builds and deploys AI-powered web applications for a federal AI initiative, using Python, React, cloud services (Azure preferred), and AI/ML models like LLMs and RAG pipelines.
Build secure, AI-powered web apps for a defense contractor, integrating LLMs and RAG pipelines with Python backend, React/Vue frontend, and vector databases in a classified environment.
Develops, deploys, and maintains AI/ML models for a defense program using GCP, focusing on LLMs, RAG, and agentic workflows to support military operations.
Senior AI Engineer designs and builds production-grade AI systems (agentic workflows, RAG, orchestration) for Thales’ inflight passenger experience, leading cloud and edge deployments while mentoring teams.
Lead the design and deployment of enterprise-grade generative AI systems, including LLM integration and RAG pipelines, to embed AI capabilities into secure, scalable financial-market workflows at a global market-infrastructure provider.
Lead the design and deployment of enterprise-grade generative AI systems, including LLM integration, RAG pipelines, and AI-driven data access patterns for a global capital-markets infrastructure provider.
Build and deploy AI/ML solutions in Python, including LLMs, RAG, NLP, and computer vision, for global clients using tools like GitHub Copilot and ChatPwC.
Build and scale AI-powered identity-security systems using ML models, MLOps, and cloud-native pipelines to automate access decisions and detect anomalies for enterprise customers.
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