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The Senior Data Scientist will transform operational data into actionable insights by developing dashboards and implementing GenAI solutions like RAG and structured extraction. The role involves end-to-end delivery, stakeholder management, and mentoring team members on data modeling and analytics standards.
Join us as a Lead AI Engineer and play a key role in shaping the future of AI across Customer Operations. We're looking for a technical leader who enjoys solving complex challenges, building innovative AI products…
We're looking for a hands-on AI Engineer who is passionate about turning emerging AI technologies into practical solutions that deliver real business value. Working within our Customer Operations team, you'll…
Thiết kế và xây dựng các sản phẩm/tính năng AI: trợ lý truy vấn, tổng hợp, thống kê, so sánh và phân tích dữ liệu thị trường, ngành, mã chứng khoán; xử lý và tóm tắt báo cáo, tài liệu; chatbot/trợ lý nghiệp vụ cho…
Join a collaborative, high-performing engineering team where your ideas, technical expertise and passion for innovation can make a real impact. You'll become part of a well-established team of nine, including…
MLOps + DevOps Engineer responsible for operating an AI-native platform with agentic systems, ML workloads, and backend services on AWS. Core technologies include AWS (EKS, Lambda, Bedrock, SageMaker), Kubernetes, Kafka, Terraform, and observability stacks like Grafana, Prometheus, and OpenTelemetry.
Designs and unifies enterprise systems at a fast-growing AI and energy infrastructure company, connecting finance, construction, and HR platforms into a scalable, event-driven architecture.
Beacon AI is seeking Cloud and ML Infrastructure Engineers to build and maintain scalable AWS infrastructure and LLM platforms for aviation systems. The role involves designing RAG pipelines, managing model inference, and ensuring secure, high-performance deployments using tools like AWS, Python, and LangChain.
About Us 🚀 Bridgit is a leading non-bank lender transforming the way Australians access property equity. Purpose-built to make property transactions faster and easier, we pioneered the Buy Now, Sell Later solution —…
Build and deploy AI-powered applications for clients by integrating Python, LLMs, and Generative AI into scalable systems while collaborating directly with stakeholders.
Oversees AI system stability, performance, and maintenance for public-sector clients, ensuring operational excellence by managing SLAs, model drift, and incident governance while bridging engineering and client governance.
AI Product Manager designs and delivers AI-powered financial consulting tools for private equity clients, translating complex finance problems into technical requirements using agentic AI, RAG pipelines, and sprint-based delivery.
AI Architect responsible for designing and governing the end-to-end LLM Intelligence Engine architecture (RAG, agents, vector DBs) for a logistics/supply chain group, coordinating with hyperscalers and vendors to ensure scalable, cost-efficient AI foundations.
Build and deploy AI agents that automate financial workflows like variance analysis and forecasting for CFOs, integrating with EPM/CPM systems using Python and LLM frameworks.
Overview Join the team building the future of AI at Microsoft. Are you passionate about creating the next generation of Agent Building experiences? The Microsoft Foundry team within Microsoft CoreAI is on a mission to…
Designs and leads enterprise-scale AI/ML and Generative AI solutions, focusing on LLMs, RAG architectures, and cloud-based deployments while mentoring teams and ensuring governance.
AI/ML Engineer designing and deploying end-to-end LLM and RAG pipelines, MLOps workflows, and data integration systems on AWS (SageMaker, Bedrock, Lambda, EKS) for enterprise clients in regulated industries.
Build and scale enterprise-grade generative AI systems using Python, AWS, and frameworks like LangChain; design agentic workflows, RAG pipelines, and secure AI services for Fortune 500 clients.
Designs and builds enterprise-scale Agentic AI platforms for autonomous AI agent development, deployment, monitoring, and governance using Azure AI, LangChain, and Python.
Design, build, and maintain AI agents and RAG pipelines using LLMs (Claude, OpenAI, Bedrock), Python (Django/FastAPI), vector databases, and AWS for a remote data consultancy.
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