Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Design and build modern data platforms for Finland’s largest organizations, enabling scalable analytics and AI agents while guiding customers through complex data challenges.
Designs and builds data products and visualizations for clinical trials, translating business needs into digital solutions in a regulated healthcare environment.
Build and maintain scalable data pipelines for machine learning systems, ensuring data quality and security while collaborating with cross-functional teams to deliver AI solutions for clients.
Builds scalable data pipelines and infrastructure for AI systems, including LLMs and agentic architectures, using Python, SQL, and cloud platforms like AWS/Azure/GCP.
Build and own BI/AI solutions in Power BI and Python to drive logistics process optimization and data-driven decisions across Sandisk’s global supply chain.
Business Automation & AI System Engineer We're expanding our IT Department and are looking for 2 talented Software Developers / AI System Engineer to join our growing team! Be part of an exciting digital…
Design and deploy AI solutions for mobility tech, integrating LLMs and cloud systems to solve business problems and scale pilots into production systems.
Lead the design and implementation of AI-powered features for enterprise software, including accounting and POS systems, using RAG, AI agents, and cloud/on-premise integration.
We are looking for an innovative and driven AI Implementation Specialist to bridge the gap between cutting-edge artificial intelligence and our daily logistics operations. In this role, you will be the driving force…
Implement and integrate AI tools into retail systems, automate workflows, and drive adoption across Watsons Malaysia’s health and beauty stores.
Build and maintain the AI Enablement Platform using MCP, TypeScript, Node.js, and GKE to securely integrate AI models with DHL’s API ecosystem and logistics data.
Builds and secures AI platform services in TypeScript/Node.js, deploys on GKE, and governs APIs via Apigee for DHL’s AI Enablement Platform.
Designs and automates MLOps and DevOps pipelines for scalable AI/ML platforms, ensuring secure, reliable model training and inference workflows across multi-cloud and on-premises environments.
Build and maintain enterprise .NET/C# backend services and React/TypeScript frontends, integrating with AWS, CRM, and marketing platforms for global brands.
Builds and deploys production-grade AI systems—including multi-agent workflows and copilots—using Microsoft AI tools to automate decisions and improve efficiency in business operations.
Design and lead the transformation of Takealot’s data platform from batch to real-time, setting technical standards and governance for a high-scale ecommerce and logistics ecosystem.
Design and deploy AI-powered compliance workflows (alert pre-screening, case narratives, regulatory summaries) using Python, n8n, and Claude API to automate risk analysis and reporting across Kraken’s crypto and financial products.
Senior AI and Data Cloud Architect designs enterprise-grade AI, analytics, and cloud solutions on Azure, AWS, and GCP, guiding clients through cloud transformation and AI adoption.
Design and deploy AI/ML models for fintech domains like payments and liquidity management using Python, cloud platforms, and MLOps tools.
The Manager: AI Architecture is responsible for designing, governing, and evolving the organization’s end-to-end Artificial Intelligence (AI) architecture. The role ensures AI solutions are scalable, secure, ethical,…
We couldn't check your fit for this role — add a CV to your profile to see it next time.