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Senior Data Scientist analyzes WeChat ecosystem data, builds computer vision and LLM-based solutions, and translates insights into actionable business strategies using deep learning and AI.
Designs and builds AI-powered financial solutions for capital markets, bridging business needs with scalable agentic AI frameworks and full-stack cloud-native architectures.
Designs and deploys AI/ML and generative AI solutions (LLMs, RAG, vector databases) for enterprise applications, focusing on document intelligence, knowledge management, and automation to improve operational efficiency in climate and energy solutions.
Lead AI engineering for a global pest control/environmental services company, designing and scaling production-grade genAI, multi-agent workflows, and automation systems. Focus on cloud-native LLMOps, platform architecture, and mentoring teams to deploy AI solutions across business functions.
Builds and deploys AI/ML and GenAI systems for healthcare, focusing on scalable data pipelines, model serving, and advanced GenAI patterns to solve health-related problems across Asia.
Designs and deploys AI/ML and LLM-based systems for fintech applications, integrating models into scalable cloud-native solutions using Python and AWS.
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for…
Build and deploy scalable AI and agentic AI solutions, integrating LLMs and APIs into enterprise systems while ensuring security and reliability.
The Engineering Lead will spearhead the evolution of data technologies through Applied AI, designing and delivering scalable software solutions while managing teams and technical strategy. The role requires expertise in AWS, Python, and modern AI frameworks like LangChain and RAG to drive innovation within the bank's digital landscape.
This role involves working with major Chinese Cloud Service Providers to architect and deploy NVIDIA BlueField DPU and DOCA-based networking solutions for Agentic AI workloads. The architect will lead technical engagements, optimize North-South traffic, and bridge local customer requirements with NVIDIA's global product roadmap.
This is a data science internship at DBS where the intern will assist senior data scientists in designing and testing machine learning, GenAI, and agentic AI solutions. The role involves data preparation, model development, and maintaining project documentation using tools like Python, SQL, and GCP.
The Senior Solutions Architect will design and guide the technical direction for software systems, focusing on AI-native and cloud-native architectural patterns. The role involves creating architecture roadmaps, documenting decisions via ADRs, and collaborating with engineering teams to modernize platforms within the insurance domain.
Equifax is seeking an intermediate software engineer to design and build automated workflows and intelligent agents using UiPath Maestro, Langchain, and Google Cloud ADK. The role involves developing scalable orchestration solutions, integrating systems, and performing unit testing within an agile environment.
This role involves developing and deploying software tooling for space environment testing, including hardware integration test code and proprietary MBSE software. The position requires proficiency in LabVIEW and Python, with a focus on test automation and hardware driver development.
Build enterprise banking platforms and integrate AI features like document processing and decision support using Java/Node.js/Python and React/Angular with LLM APIs and RAG pipelines.
The Senior AI Engineer will build and maintain agentic AI workflows and RAG pipelines, integrating them with RPA systems to automate enterprise processes. The role requires strong Python skills and experience deploying production-ready AI solutions using frameworks like LangChain and various LLM APIs.
The Forward-deployed AI Engineer embeds with internal teams to identify operational challenges and build, deploy, and maintain AI-enabled solutions using LLMs, RAG, and Azure AI technologies. This role bridges the gap between business needs and technical implementation to improve healthcare outcomes and administrative efficiency.
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