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Build and own AI systems that power an agentic 3D commerce experience, integrating LLMs with spatial data and product catalogs.
Build and ship full-stack AI-driven applications using TypeScript and AWS, rapidly prototyping with GenAI tools in a hybrid Bristol role.
Senior full-stack engineer building and deploying AI-powered applications using LLMs, agents, and RAG on Google Cloud, with React/Next.js frontends and Python backends.
Build regulated software platforms and tools that enable safe, traceable AI-enabled medical pathology products using standards like IEC 62304 and ISO 13485.
Lead a team to build Snowflake-native AI platforms and autonomous agents that power data-driven decisions in rare disease commercial operations, using Cortex AI and Snowpark for production-grade ML and agent systems.
Build and maintain AI-assisted test automation frameworks for Visa’s cloud platform, integrating GenAI tooling and API/UI tests (Selenium, Playwright, RestAssured) into CI/CD pipelines.
Act as the central IT liaison driving GenAI and federated data solutions across Siemens Healthineers’ product lifecycle, from requirements to deployment, ensuring alignment with global IT strategy and healthcare innovation.
Build and deploy production-grade AI services and integrations in Python, integrating models into enterprise systems like ERP/CRM and ensuring scalable, secure AI adoption.
Fine-tunes and adapts large language models to improve instruction-following and domain-specific performance, collaborating with teams to align models with project goals.
Fine-tunes and adapts large language models to improve instruction-following and domain-specific performance, analyzing outputs and iterating on training strategies.
Design and refine prompts for large language models to optimize responses, using machine learning and Python in AI playgrounds.
Fine-tunes and adapts large language models to improve their performance in specific domains and contexts, focusing on instruction fine-tuning and model evaluation.
Design and refine prompts for large language models to optimize AI responses, using programming and AI playgrounds to improve interactions.
Deploy and monitor large language models using cloud-native tools, troubleshoot performance issues, and enforce AI operational security standards.
Assess AI systems for ethical compliance and design mitigation strategies to meet responsible AI standards.
Build, train, and deploy ML models using Python and frameworks like TensorFlow/PyTorch to power AI-driven business solutions.
Lead AI/ML architecture and development for fintech products, building and deploying production-grade generative AI systems including LLMs and RAG pipelines.
Build and improve AI-powered tax assistant features, RAG, generative AI, workflow automation, and fiscal insights using Python, backend services, and AI orchestration frameworks.
Fine-tunes large language models using instruction fine-tuning and domain adaptation to improve model relevance and performance for specific applications.
Deploy and monitor large language models on cloud-native platforms, troubleshoot operational issues, and ensure AI compliance and security.
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