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Designs and executes automated and manual tests for PayPay’s fintech apps and APIs, using tools like Appium, Playwright, and AI assistants to ensure quality and reliability of banking and payment systems.
Designs and executes automated tests for PayPay's mobile, web, and API systems, using AI tools to validate features and AI/ML components while improving QA standards.
Senior economist/data scientist builds and deploys econometric and ML models in Python/R, analyzes large datasets, and crafts client-facing reports and dashboards.
Own the AI-powered natural-language layer for a SaaS platform: define the product strategy, architecture, and evaluation systems that let users ask questions, retrieve knowledge, and safely execute actions across CRM, automation, and workflows.
Build and deploy production-grade GenAI applications for enterprise clients, integrating LLMs, RAG, and agentic workflows with Python and modern AI frameworks.
Build and deploy ML models for embeddings, retrieval, ranking, and classification, and create generative-AI features for a large-scale recommender system.
Build and deploy production-grade AI/ML and Generative AI systems using Python, LLMs, RAG, and MLOps pipelines for real-world business use cases.
Builds an AI coding assistant: TypeScript/React front-end and Node.js back-end that integrates LLMs, analyzes codebases, and automates engineering tasks in real time.
Data Scientist – Snowflake + Agentic AI / Cortex AI Primary Skills We are looking for an experienced Data Scientist with strong expertise in Snowflake and hands-on exposure to Agentic AI / Snowflake Cortex AI to join…
Build and tune retrieval pipelines for semantic matching in government procurement, focusing on RAG and relevance evaluation rather than chat interfaces.
Build AI agents that analyze session replays to surface issues and recommendations using LLMs, vector databases, and orchestration frameworks.
Build and extend SAP HCM add-ons, integrating AI features using ABAP, SAPUI5/Fiori, and cloud APIs to power HR solutions for large European enterprises.
Build and deploy AI-powered applications for U.S. government clients, integrating LLMs, vector stores, and microservices across the full stack.
Build and deploy AI/ML systems for financial services, including LLMs, RAG pipelines, and agentic workflows using Python, cloud platforms, and MLOps practices.
Build and deploy LLM-powered AI solutions, including RAG pipelines and NLP applications, using Python, LangChain, and cloud platforms like Azure/AWS/GCP.
Build and deploy AI/ML models using Python, FastAPI, and Generative AI tools like LangChain and vector databases to create scalable solutions for clients in media, e-commerce, and other tech sectors.
Build cloud-native search and LLM-powered workflows using React, Node.js, and Elasticsearch; integrate RAG and semantic search in a secure, mission-driven environment.
Build and test components for generative AI and LLM applications under supervision, including RAG pipelines and prompt engineering, using Python and ML frameworks.
Build and maintain AI-powered search infrastructure for a learning platform, designing Elasticsearch pipelines, hybrid retrieval systems, and backend services to deliver low-latency, high-relevance results at scale.
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