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Builds ML/NLP models for text data, writes production-grade Python/SQL code, and translates insights for clients in a collaborative Singapore-based team.
Build and deploy AI/ML models (NLP, computer vision, prediction) using Python and cloud tools to automate workflows and improve decision-making in a design-focused architecture firm.
Build and integrate AI models into fintech platforms to automate financial data analysis, fraud detection, and financing workflows using Python and full-stack development.
Full Stack Engineer building immersive dashboards for command centre app using Vue.js/React, Node.js, and AI-assisted tooling. Work on 3D geospatial frontends, data dashboards with ECharts, and secure backend services.
Full Stack Engineer building data-rich dashboards for a command centre application using Vue.js/React frontends, Node.js backends, and AI coding tools like Claude Code and Copilot for an AI-powered 3D camera technology company.
Builds and maintains AI-powered full-stack applications by designing scalable frontend/backend systems, integrating APIs, and optimizing performance for seamless user experiences.
Backend Engineer designing and optimizing scalable backend systems and APIs for an AI company's services, using Node.js/Python/Go, databases like PostgreSQL/MongoDB, and cloud/container tech.
Build and deploy responsive web apps for desktop and cloud, collaborating with designers and AI engineers using secure, scalable full-stack development.
Build and maintain Azure AI integrations and cloud-native DevOps pipelines for enterprise clients, ensuring scalable, secure, and cost-efficient systems.
Designs and operates scalable AI platforms on Azure and AWS, implementing Terraform IaC, CI/CD pipelines, and observability for AI/ML workloads with a focus on security and governance.
Oversees data ingestion pipelines for analytics and AI, designing and maintaining frameworks to extract, validate, and integrate data from multiple sources into a data lake, ensuring performance, automation, and SLA compliance.
Architect, build, and optimize backend systems and APIs for KokoroLab's AI services, collaborating with frontend and ML teams in Singapore.
Oversee end-to-end delivery of leased and partnered data centers for AI infrastructure, coordinating contractors, landlords, and internal teams to accelerate construction while meeting safety and technical requirements.
Lead APAC accounting for a frontier AI company, owning statutory reporting, audits, and regional finance operations while building a high-performing team and scaling systems.
Forward Deployed Engineer (FDE) at Anthropic works directly with strategic customers to deploy AI applications using Claude models, providing technical support and accelerating AI adoption. The role requires expertise in LLMs, Python programming, and building production applications that solve real business problems.
As an Applied AI Architect on the Partnerships team at Anthropic, you will be a pre-sales architect focused on cultivating technical relationships with Global and Regional System Integrators (GSIs/RSIs) and cloud partners (AWS and GCP). You'll develop joint solutions, enable AI practices for partners, and execute long-term go-to-market strategy, using expertise in LLMs and cloud architectures.
Anthropic’s Applied AI Engineer advises German enterprises on deploying Claude AI into their operations, guiding technical and executive stakeholders through procurement, architecture, and integration while ensuring alignment with business outcomes.
Build and maintain cloud-native back-end services for maritime IT networks while integrating AI/LLM features like RAG pipelines and agentic workflows using Python and distributed systems.
Develops production-grade Python software for a quantum/AI company, focusing on compressing tools and high-value industry problems while collaborating with ML/quantum experts and DevOps engineers.
C3 AI is seeking a Software Engineer to join their support team in Bengaluru to troubleshoot, debug, and resolve customer issues on the C3 AI platform. The role involves working closely with customers and internal engineering teams using JavaScript and Python to maintain and improve enterprise AI applications.
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