Top AWS Jobs in Singapore

As a Data Scientist at Micron, you'll develop AI-driven solutions in semiconductor manufacturing, build predictive models, and communicate analytical insights to stakeholders.

Design, build, and productionize GenAI and ML solutions for semiconductor engineering: large-scale data pipelines, LLM/RAG and agentic workflows, model training/inference, analytics, deployment, monitoring, and cross-functional collaboration to improve quality, cost, and engineering productivity.

The Senior Data Scientist will develop digital twin solutions for semiconductor fabs, utilizing machine learning, predictive analytics, and simulation tools to optimize operations and enhance decision-making processes.

Lead and scale APAC post-sales operations: own regional operating model, lead analysts, partner with CS/Support/Services, deliver programs, implement automation and AI-enabled improvements, and provide executive reporting and regional feedback to global standards.

Design and deploy computer vision and deep learning models (CNN, LSTM, transformers) for industrial inspection and anomaly detection; extract, clean, and analyze large multimodal datasets; implement MLOps (MLflow, Airflow, Docker) for production deployments; collaborate across engineering, operations, and quality teams; mentor engineers and contribute research outputs and technical documentation.

Design and deploy computer vision and deep learning solutions for manufacturing inspection and monitoring. Extract and clean large datasets, build multimodal AI models, apply MLOps for production deployment, and collaborate with cross-functional teams to translate research into operational systems and documentation.

Embed as a hands-on technical expert within customer teams to design, configure, and optimize Cloudflare solutions. Lead implementations, build automations and prototypes, produce architecture and delivery artifacts (HLD/LLD, runbooks, test/deployment plans), run workshops and knowledge transfer, and act as customer advocate to Cloudflare product and engineering teams while aligning technical outcomes to business objectives.

As a Data Scientist at Micron, you will analyze big data sources, develop software for data processing, deploy models, and extract actionable insights for product and service improvement.

The Production Engineer - Team Lead manages cloud infrastructure stability, incident response, and team development, while driving operational excellence and reliability improvements.

As a Data Science Engineer, you'll analyze big data, develop models, deploy solutions, and communicate insights to improve products and services.

The Data Scientist will analyze large datasets, develop AI applications, and collaborate with cross-functional teams to create innovative solutions. Responsibilities include building computer vision systems, deploying deep learning models, and integrating AI tools for operational improvements.

Lead the design, development, and integration of AI-powered applications while ensuring code quality and collaborating across teams. Ideal for engineers focused on automation and secure application engineering.

Lead planning, deployment, optimization, and operational support of CrowdStrike Falcon's AI/ML detection and response capabilities. Configure/tune models, develop automation playbooks and Falcon API integrations, troubleshoot AI-related issues, support incident response and threat hunting, deliver AI workshops, and collaborate on customer-facing AI collateral. Travel up to 25% required.

Drive land-and-expand enterprise sales across segments (especially public sector). Qualify opportunities, manage full sales cycles, present proposals, cultivate executive relationships, and expand accounts through upsell and cross-sell.

The AI-Driven Process Development Internship involves using data analytics and machine learning for process development in semiconductor technologies, focusing on process optimization and collaboration with engineers.

Serve as a quota-carrying technical trusted advisor across the customer lifecycle: lead technical discovery, design bespoke architectures, run demos and PoCs, drive adoption and expansion, and use AI-augmented workflows to automate routine tasks.

As a Data Scientist, you will analyze large datasets, develop predictive models, and improve existing tools while collaborating with teams for data analysis projects.

As a Director of Technical Program Management, you will design and oversee the deployment of agentic AI systems for clients, ensuring compliance and robust architecture while collaborating with cross-functional teams.

The Channel Sales Manager will develop partner-led sales strategies, manage partner relationships, and drive enterprise adoption of Postman, focusing on recruiting and enabling partners to accelerate sales revenue.

The role involves partnering with Customer Success Managers to provide technical solutions for customers, developing reusable assets, and creating integrations to improve customer engagement and scalability.

The Customer Engineer will serve as a technical advisor, managing customer relationships, validating technical solutions, and ensuring long-term adoption and growth of Cloudflare's services while leveraging AI for workflow automation.

As a Technology Consultant II, you'll deliver services on the Dynatrace Platform, monitor applications, assist clients in troubleshooting, and enhance their cloud adoption.

Lead and grow engineering teams that build and operate card issuing, transaction processing, and settlement platforms. Provide people leadership, technical and architectural direction, ensure reliability, scalability, observability, and compliance, drive platform improvements, and collaborate with product and operations to deliver high-impact systems.

Manage and review sales opportunities and order forms for compliance, resolve order discrepancies, facilitate signatures, support marketplace orders, provide sales training, improve order processes, test projects, maintain documentation, meet month-end close deadlines, and perform tasks affecting customer billing and access.

Develop modeling, analytics, and web-based solutions to improve manufacturing efficiency and scheduling. Communicate methods and results, manage project tasks, collaborate across teams, and apply AI/ML and optimization techniques to manufacturing constraints.