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Designs and prototypes AI-augmented fintech ventures, turning trends into testable concepts and validating them with users to secure seed investment.
The AI Engineer will design and implement LLM orchestration patterns and build AI agents using Python or Java. The role involves integrating multi-modal models and deploying GenAI applications across AWS, Azure, and Google Cloud platforms.
A senior engineer embedded with Databricks’ strategic customers to design and build custom full-stack applications on the Databricks platform, blending data engineering, AI, and application development for enterprise clients.
Principal Data & AI Solution Architect designs end-to-end AI and data solutions for enterprises, translating business needs into scalable architectures using cloud platforms like Azure and Databricks.
Build and enforce AI security strategy, controls, and governance for AI systems (LLMs, agents, ML pipelines) while integrating with SOC operations and red-teaming.
This Machine Learning Engineer role at an AI startup focuses on building and maintaining infrastructure for training, deploying, and scaling AI models. The engineer will develop data pipelines, monitoring frameworks, and optimize systems for performance and reliability.
The APJ Partner Category Lead manages the end-to-end strategy for DevOps and Observability technology partnerships across the Asia-Pacific and Japan region. This role involves driving partner adoption, managing executive governance, and aligning cross-functional teams to grow AWS Marketplace revenue.
The Senior Software Engineer will design and deliver secure enterprise digital platforms for government and enterprise clients, focusing on full-stack development and the integration of Generative AI and RAG-based capabilities. The role requires expertise in C#/.NET or Python, cloud platforms like Azure and AWS, and adherence to Singapore Government security standards.
The Machine Learning Engineer will research and implement ML algorithms, focusing on NLP, computer vision, and GenAI to build healthcare SaaS solutions. They will collaborate with researchers and engineers to integrate models into production environments.
This role involves developing and maintaining production Android applications that integrate AI-driven features like conversational assistants and computer vision. The engineer will work with Kotlin, Coroutines, and various AI APIs to optimize performance and user experience for an AI-focused fintech product.
Lead Product Manager building the commercial product layer for an AI-adaptive learning engine, creating roadmap, pricing, and launch strategies from zero while working directly with the CEO and engineering team.
Design and maintain ultra-low-latency data-center networks for AI workloads, deploying spine-leaf fabrics and high-speed Ethernet/InfiniBand to power GPU clusters for model training and inference.
The AI/ML Specialist will design and deploy scalable AI solutions, including Generative AI and NLP, within a banking environment. The role involves the full lifecycle of AI development, from data analysis and modeling to cloud deployment and CI/CD integration.
Designs and governs cloud-based data architectures (Azure) for scalability, security, and performance, translating business needs into technical solutions and leading technical reviews.
The Research Engineer will develop Green AI technologies, focusing on model optimization, efficient inference, and large language models to improve the sustainability of AI systems. This role involves conducting experiments, benchmarking algorithms, and collaborating with cross-functional teams to translate research into practical applications.
The Research Scientist will conduct research on efficient and sustainable AI technologies, focusing on the development and optimization of large language models and multimodal foundation models. This role involves collaborating with interdisciplinary teams to create real-world sustainability solutions and publishing findings in top-tier academic venues.
The Research Scientist will conduct research on energy-efficient and scalable AI technologies, focusing on the training and inference of large language models for sustainability applications. The role involves developing novel algorithms and system-level innovations using Python and frameworks like PyTorch.
Lead AI and analytics product strategy for logistics-focused solutions, collaborating with engineering and business teams to deliver data-driven features and drive adoption.
This role involves leading the front-end architecture and development of AI-driven applications within Cisco's Customer Experience organization using Angular, TypeScript, and RxJS. The engineer will bridge design and engineering to build performant, accessible, and scalable user interfaces for complex data-driven platforms.
This role serves as a technical leader for Cisco's front-end engineering, focusing on architectural strategy and design system governance for AI-driven enterprise applications. The position requires deep expertise in Angular, TypeScript, and design-to-code workflows to build scalable, high-performance user interfaces.
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