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Data Scientist Intern — Concord Advice Summary Concord Advice is a dynamic fintech company headquartered in the New Jersey area, specializing in delivering cutting-edge analytical and technical solutions for financial…
About the Role We are looking for a Python Software Engineer to join our engineering team and work at the intersection of software development, machine learning, and embedded systems. The primary focus of this role is…
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice…
Requisitos 5+ anos de experiência na carreira Banco de Dados Relacional SQL Server Python Machine Learning Artificial Intelligence Conhecimentos Desejáveis Ambiente cloud (GCP, AWS, Azure) Java Tarefas e…
We are helping an on-demand, autonomous ride-hailing company find a Software Engineer to design and build production-grade AI applications, agents, and conversational systems. In this role, you’ll develop AI-powered…
Designs and implements AI-driven internal workflow automation and agent systems to streamline document and content management for enterprise clients.
Develop and deploy AI/ML solutions, including LLM applications and data pipelines, while ensuring ethics, privacy, and compliance for a government agency.
Designs and maintains distributed AI systems using LLMs and agentic workflows, including retrieval pipelines, monitoring, and risk mitigation.
Company overview Our partner is a U.S.-based pharmaceutical company with an annual revenue of $400 million, developing agentic AI solutions that enable machines to speak to data. In Vietnam, the team focuses on…
Build and deploy generative AI solutions (LLMs, agents, RAG) for enterprise clients using Python, LangChain, and cloud AI services like Azure OpenAI.
Build and deploy enterprise-grade AI applications using LLMs, RAG, and workflow automation, integrating with enterprise systems and APIs.
Build and deploy RAG systems and fine-tune LLMs to generate insights about flexible workspace usage, using Python, cloud MLOps, and vector databases.
Maintain and update Udacity’s AI/Generative AI courses by debugging Python exercises, updating LLM frameworks (LangChain, LlamaIndex), and ensuring workspaces and cloud labs stay current with the latest tools and APIs.
Build and maintain AI data pipelines, ETL workflows, and integrate ML components into production systems, focusing on model inference and RAG optimization.
Build and deploy AI models: clean datasets, train neural networks, convert models to APIs, and integrate them into apps and cloud systems.
Designs and builds AI/ML models (LLMs, generative AI, or computer vision) using frameworks like TensorFlow and PyTorch, integrates them into applications, and optimizes performance in production.
Build and deploy AI/ML systems for B2B financial operations, focusing on invoice matching, payment reconciliation, and agentic workflows using LLMs and RAG in a fintech SaaS platform.
Own the AI-first strategy and roadmap for legal and compliance enterprise applications, redesigning workflows and delivering AI agents and integrations.
Build and ship enterprise-grade AI apps: full-stack web apps with React/Next.js and Python/FastAPI, integrating LLMs, RAG, and AI agents to automate HR and finance workflows.
Lead the architecture and delivery of enterprise AI systems using LLMs, RAG, and AI agents, setting engineering standards and mentoring teams to build secure, scalable, and responsible AI solutions.
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