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Build and deploy large-scale AI systems and autonomous agents using ML, NLP, and multi-agent orchestration at enterprise scale for Walmart’s global operations.
Principal Data Scientist at Walmart leading end-to-end AI system design, autonomous agent development, and production ML deployments using PyTorch, LangChain, and multi-cloud platforms.
It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Job Description We're looking for an Automation…
Build and deploy LLM-powered agents and RAG pipelines using PyTorch and Hugging Face, optimizing for accuracy, latency, and cost in a contact-center AI platform.
Build and deploy NLP pipelines using LLMs for contact-center insights, including text classification, summarization, and agentic applications in a fast-moving AI startup.
Build and deploy generative AI models and autonomous agents to optimize logistics workflows using LLMs, RAG, and vector databases.
Lead AI Engineer builds and architects AI-driven solutions, prototypes with LLMs and GenAI frameworks, and sets engineering standards for scalable, secure, and cost-efficient AI applications.
Lead enterprise-scale GenAI projects for Fortune 500 clients, designing and building scalable LLM-powered systems with RAG, agents, and Graph-RAG architectures.
Senior engineer building enterprise-scale GenAI apps using LLMs, RAG, and agent frameworks; designs backend services and integrates AI into Fortune 500 systems.
Lead enterprise-scale GenAI projects, designing and building production-grade LLM-powered systems with RAG, agents, and vector databases for Fortune 500 clients.
Build and deploy ML/LLM models, AI agents, and MLOps pipelines to power Ancestry’s family-history platform and GenAI features.
Build AI-powered tools to accelerate hardware design and testing workflows using Python, TypeScript, and vector databases.
Build full-stack web apps and integrate AI features using modern stacks, AI coding assistants, and LLM APIs to deliver enterprise solutions.
Build and maintain scalable Python-based backend services using FastAPI, Docker, and cloud platforms (Azure/AWS) for a cybersecurity-focused AI project.
Lead the architecture and development of large-scale RAG and NLP systems for vertical AI platforms, using PyTorch, vector databases, and probabilistic modeling to deliver predictive intelligence for high-stakes industries.
Senior AI Engineer builds and deploys scalable machine-learning and LLM-powered solutions to transform products and operations, focusing on generative AI, retrieval-augmented generation, and cloud platforms.
（日本語が下部に続きます） About AIRoA The AI Robot Association (AIRoA) is launching a groundbreaking initiative: collecting one million hours of humanoid robot operation data with hundreds of robots, and leveraging it to train the…
Build production-grade AI agents in Python using LangGraph/LangChain, orchestrating multi-step reasoning, RAG, and tool use; deploy on cloud stacks with LLMOps and security guardrails.
Build autonomous AI agents that plan, collaborate, and act using frameworks like LangChain and DSPy, integrating LLMs with tools and APIs for real-world execution.
Company: Marsh McLennan Agency Description: We are seeking a talented individual to join our MMA team at Marsh. This role will be based in Pune/Mumbai/Gurgaon. This is a hybrid role that has a requirement of working at…
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