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Build and maintain Snowflake data models to power AI-driven marketing systems, enabling agentic workflows and LLM tool-calling for predictive and generative use cases.
Designs and builds scalable cloud data pipelines, warehouses, and analytics platforms using Python, SQL, Spark, and cloud tools like BigQuery and Snowflake, with optional Gen AI integration.
Build and deploy AI models (LLMs, ML) for healthcare insights, recruiter automation, and personalized experiences using Python, PyTorch, LangChain, and vector databases.
Build and deploy AI models (LLMs, ML) and data pipelines for healthcare insights, recruiter automation, and personalized digital experiences using Python, PyTorch/TensorFlow, and LangChain.
Builds backend services and APIs in Python/TypeScript that orchestrate LLMs, vector databases, and agentic workflows for an AI-driven infrastructure automation platform.
Builds and scales Python/FastAPI backend services that integrate LLMs, RAG pipelines, and vector databases for an AI-driven healthcare market-research platform.
Lead architecture and development of secure, scalable healthcare platforms integrating AI models, multi-modal databases, and real-time data pipelines for clinical insights.
Builds enterprise GenAI apps with Python, LangGraph, and RAG pipelines, integrating LLMs and vector search for AI agents and chatbots.
Build full-stack web apps that blend Web3/crypto (smart contracts, dApps) with AI features, using React/Next.js, Node.js/Python, and libraries like Ethers.js and LangChain.
Build full-stack web apps integrating Web3/crypto and AI, using React/Next.js, Node.js/Python, and smart contracts; connect UIs to blockchain protocols and LLM APIs.
Fine-tune and deploy private AI models (LLMs, vision) using Python, Docker, and cloud platforms; maintain scalable, secure AI solutions with prompt engineering and responsible-AI practices.
Protect Absa’s AI systems by designing secure AI architectures, detecting AI-specific threats, and running offensive security tests like prompt injection and agent manipulation.
Design and lead enterprise AI solutions for Australian clients, building secure LLM/RAG architectures and rapid PoCs while mentoring AI engineers.
Build and deploy ML models in NLP, computer vision, and generative AI, integrating them into production apps via cloud APIs and frameworks like PyTorch and LangChain.
Build AI-powered web apps with React/Next.js and Python backends, integrating LLMs and RAG pipelines to automate design workflows and business operations.
Lead a team building enterprise-grade AI solutions for healthcare, deploying LLMs on cloud platforms like AWS/Azure with OpenShift and Kubernetes while ensuring security, compliance, and scalability.
Build and maintain scalable, PCI-compliant payment systems, integrating AI/ML for fraud detection and performance optimization while leading backend services and mentoring junior engineers.
AI Data Engineer (Data & Analytics) Data and Analytics at COMPLY: COMPLY is the worlds leading aggregator of financial and regulatory data to support compliance. Our mission is to help financial institutions meet…
Build and own AI/LLM systems for corporate spending management, including RAG, agent orchestration, and security controls, using Python and cloud-native tools.
Build and own Qashio’s AI/LLM platform, designing secure, vendor-neutral systems for agent orchestration, RAG, and compliance controls from prototype to production.
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