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Build and deploy AI/ML and GenAI solutions including LLMs and RAG pipelines from concept through production using Python, Docker, Kubernetes, and MLOps practices, based in Canada.
RAG. Guardrails. Descripción del puesto: ¿Qué estamos buscando? Actualmente, tenemos un puesto vacante para un/a AI Engineer (Generative AI & Data Science Solutions)que quiera unirse a nuestra compañía. Buscamos…
NLP-команда управления развития искусственного интеллекта (блок «Развитие клиентского опыта B2C») ищет NLP/LLM-инженера для разработки AI-агентов и опромышливания LLM-решений. Мы создаем co-pilot для клиентских…
This role involves developing and evolving Generative AI solutions, focusing on LLM orchestration using LiteLLM, implementing LLMOps pipelines, and monitoring model performance and costs. The analyst will build data pipelines, create dashboards for performance tracking, and optimize AI model usage across various cloud platforms.
Wir bei Capgemini Invent glauben, dass unterschiedliche Perspektiven den Wandel vorantreiben. Als innovative Transformationsberater vereinen wir unsere strategischen, kreativen und wissenschaftlichen Fähigkeiten und…
hackajob is collaborating with Rentokil Initial to connect them with exceptional professionals for this role. As part of our Group AI Team, we are scaling our internal capabilities to deliver cutting-edge,…
Build and deploy LLM-powered AI agents and retrieval systems for a bank’s client-facing copilot, using PyTorch, LangChain, and RAG pipelines.
AI/ML Engineer II 3-8 Years Experience JOB SUMMARY We are seeking a highly capable AI/ML Engineer II to serve as a strong individual contributor within our Artificial Intelligence and Automation team. The ideal…
Builds and deploys production-grade generative AI systems using LLMs, RAG, and AI agents in Python, integrating with vector databases and cloud AI platforms.
Builds and deploys enterprise-grade generative AI applications end-to-end, combining LLMs, RAG pipelines, and full-stack tech (Python backend + React/Next.js frontend) for scalable, production-ready solutions.
Leads AI/Data Science solutions in a CoE, designing multi-agent systems, RAG, prompting, and tooling for scalable GenAI applications with Python/Java/Kafka.
Full-stack AI Engineer building GenAI-enabled applications using Python, FastAPI, and React with LLM/RAG pipelines for an industrial manufacturer.
As a (Senior) AI Engineer at REWE Group's Analytics division, you will build and operate production-grade GenAI applications (chatbots, agents, assistants), design agentic workflows, and establish LLMOps best practices using Python, SQL, and cloud platforms.
Senior AI Engineer/Architect at a large engineering services firm, designing and implementing AI solutions (LLMs, RAG, agents) for clients—covering strategy consulting, PoC development, scalable architecture, and MLOps governance.
Director-level AI Architect at PwC's Data & Analytics Advisory practice in Bengaluru, designing ML pipelines, LLM serving/GPU infrastructure, and LLMOps solutions for clients using cloud platforms and frameworks like MLflow, DeepSpeed, and LangChain.
This AI Engineer role involves designing, developing, and industrializing generative AI solutions using Google Cloud Platform, including RAG architectures and AI agents. The position requires strong Python skills and experience managing the full lifecycle of AI models from development to production.
Design and deliver production-grade ML and Generative AI systems—including LLMs, RAG, and Agentic AI workflows—using Python, agentic frameworks, and major cloud platforms as an individual contributor on Fortive's AI and Automation team.
Lieu : Issy-les-Moulineaux, France Construisons ensemble un avenir de confiance Thales est un leader mondial des hautes technologies spécialisé dans trois secteurs d’activité : Défense & Sécurité, Aéronautique…
Manage a team of Data Scientists at Sanofi's Commercial Data Science division in Toronto, leading the design and deployment of AI, ML, Generative AI, and Agentic AI solutions for commercial operations using Python, cloud platforms (AWS/GCP), and tools like Snowflake.
At Prologis, we don’t just lead the industry—we define it with a 1.3 billion square foot portfolio and an annual throughput of approximately $3.2 trillion. We create the intelligent infrastructure that powers global…
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