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Designs and builds AI/ML-powered automation solutions, including RAG pipelines, vector databases, and agentic workflows, while improving CI/CD and DevOps processes for Nokia’s products.
Build and own AI agent solutions that reinvent how Pearson’s workforce operates, turning concepts into adopted tools that empower learning at scale.
Outside Sales Product Specialist - Data Management At Dell Technologies, we create the extraordinary. Our Outside Sales Product Specialists are the experts who sell innovation to the world. Responsible for a set of…
Lead the design and implementation of a semantic layer and agentic AI system for pharmaceutical CMC data, building knowledge graphs, ontologies, and retrieval pipelines to power AI-assisted scientific workflows in a regulated environment.
Senior Manager Generative AI Architect at PwC Bangalore, designing and implementing enterprise Agentic AI frameworks, RAG architectures, and multi-agent systems while leading client engagements across cloud AI platforms.
Build and maintain Python applications, AI agents, and internal productivity platforms for OCBC Bank in Shenzhen, leveraging AI-assisted development tools like Claude Code and Devin across the full-stack (Python back-end with FastAPI/Django, React/Vue front-end, Docker/Kubernetes).
Senior IC role architecting and building production-grade ML, generative AI, and agentic AI systems (LLMs, RAG, SLMs) with MLOps practices for commercial pharma use cases in Bangalore.
The Sr. Principal Machine Learning Engineer will architect and deploy production-grade AI systems, including LLMs, RAG, and agentic workflows, to support pharmaceutical commercial and field engagement use cases. The role involves leading technical design, implementing MLOps/LLMOps practices, and mentoring teams while ensuring scalability, governance, and performance.
The Associate AI Engineer supports the development and deployment of GenAI-powered applications and agentic workflows. The role involves working with foundational AI APIs, vector databases, and prompt engineering to build intelligent systems.
The AI Architect will lead the design and implementation of enterprise-scale AI and Generative AI solutions, serving as the technical authority for AI initiatives. The role involves defining architecture roadmaps, establishing governance standards, and mentoring teams using technologies like LLMs, RAG, cloud platforms, and MLOps.
The AI Engineer will design, develop, and deploy AI-powered enterprise solutions using machine learning, Generative AI, LLMs, and RAG architectures. The role involves building scalable AI applications, optimizing models, and integrating them into cloud-based microservices architectures.
The Full Stack AI Engineer will design and build customer-facing AI features, integrating LLMs, RAG pipelines, and AI agents into production workflows. The role involves full-stack development using Python, NodeJS, React, and AWS to solve business challenges within a digital marketing agency.
AI & Data Science Consultant/Engineer building Generative AI and Agentic AI solutions, performing data science analytics, and providing client consulting and pre-sales support using Python, LLMs, RAG, and enterprise AI platforms.
This 12-month graduate management associate programme at DBS offers rotations in technology, AI, and data science tracks to develop future leaders through hands-on projects and structured training. Participants will work on software development, cybersecurity, cloud infrastructure, or advanced AI/ML solutions including GenAI and agentic frameworks.
The Senior Business Intelligence Analyst will lead the architectural design and development of end-to-end BI solutions, collaborating with global teams to deliver data-driven insights. The role requires extensive experience in data modeling, warehousing, and visualization using tools like SQL, Tableau, Power BI, and cloud platforms like Snowflake or Databricks.
The Lead Redis Platform Engineer will design, build, and maintain an enterprise Redis platform, integrating AI-driven automation and self-service capabilities. The role involves collaborating with infrastructure and security teams to support high-availability workloads and modernize platform operations using technologies like Redis Enterprise, Kubernetes, and infrastructure-as-code.
The Senior Data Engineer will design and maintain scalable data pipelines on GCP using Python, Spark, and SQL to support enterprise data initiatives and AI-driven solutions. The role involves building data products for AI use cases, including RAG and semantic search, while ensuring data governance and engineering excellence.
The AI Engineer will design and build enterprise-grade AI applications, intelligent agents, and autonomous workflows using Python, LLMs, and AWS cloud technologies. The role focuses on implementing RAG pipelines and AI orchestration to drive business process transformation within the banking sector.
The Copilot AI Engineer designs and deploys custom AI agents using Microsoft Copilot Studio and Azure AI Foundry to integrate enterprise data and workflows. The role focuses on building RAG-based solutions, optimizing prompt flows, and collaborating with cross-functional teams to scale AI initiatives within a healthcare environment.
Lead enterprise AI infrastructure and platform engineering at Novartis, designing and operating scalable AI platform services—developer environments, APIs, RAG solutions, vector databases—and integrating enterprise AI platforms (Azure AI Foundry, AWS Bedrock, ChatGPT Enterprise, etc.) with identity, networking, and security.
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