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AI Consultant identifies enterprise GenAI/LLM/agentic AI use cases, assesses feasibility and business value, and crafts roadmaps to scale AI initiatives for measurable impact.
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…
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.
Hands-on Lead AI Engineer building production-grade AI/GenAI features and cloud-native microservices for client delivery in an IT services firm, using Python/.NET/Java/Node.js, GenAI APIs, LangChain, RAG, and AWS/Azure/GCP with Docker and Kubernetes.
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 Machine Learning Engineer will design, develop, and deploy production-grade AI solutions with a focus on geospatial applications. The role involves architecting scalable ML systems, implementing MLOps best practices, and mentoring team members using Python, PyTorch, and containerization tools.
The AI Engineer will lead the design and deployment of production-grade machine learning solutions, specifically focusing on geospatial applications. The role involves architecting scalable systems, implementing MLOps practices, and mentoring team members using technologies like Python, PyTorch, and Docker.
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.
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 role involves driving data-driven growth strategies for American Express's Global Commercial Card business by leveraging analytics, machine learning, and Generative AI. The analyst will translate complex data into actionable insights to influence cross-functional stakeholders and support customer acquisition initiatives.
The Principal AI Engineer will design, build, and deploy enterprise-grade generative and agentic AI solutions within a media environment. The role involves full-stack development, system architecture, and production-level management of AI applications using GCP and Azure.
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.
This role leads engineering teams in developing and deploying enterprise-grade Generative AI and Agentic AI solutions for fraud and claims processes at Wells Fargo. The position requires hands-on technical leadership in LLM architecture, multi-agent orchestration, and cloud-native AI frameworks.
The Senior AI Engineer will design and deploy cloud-based data pipelines, machine learning models, and full-stack applications to support manufacturing operations. The role involves leveraging GCP, Vertex AI, and modern MLOps practices to build scalable AI solutions and GenAI initiatives.
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 AI Engineer will design, build, and deploy scalable AI and agentic solutions within Barclays, utilizing technologies like AWS, Python, and LLM frameworks. The role involves cross-functional collaboration to deliver secure, data-driven digital solutions while adhering to MLOps and governance standards.
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.
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