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ppCargo Wine busca un profesional para unirse a nuestro equipo como especialista en Atención al Cliente. Somos una empresa dedicada al transporte internacional de vino embotellado, facilitando que los enoturistas y amantes del vino reciban sus compras directamente desde las bodegas y tiendas especializadas en sus hogares. Nuestro equipo valora el Compromiso, la Comunicación, el Crecimiento y el Trabajo en Equipo, cualidades esenciales para brindar un servicio excepcional a nuestros clientes. Buscamos a alguien con habilidades comunicativas sobresalientes, la capacidad de resolver problemas rápidamente y un enfoque centrado en el cliente que mejore continuamente la experiencia del usuario. Si te apasiona el mundo del vino y deseas desarrollar tu carrera en una empresa dinámica dentro de la industria de Almacenamiento y Logística, te invitamos a formar parte de Cargo Wine, donde tu dedicación y experiencia serán valoradas y recompensadas. Únete a nosotros y crece junto a nuestro equipo. /p h3Tareas /h3 pbAtención telefónica y por chat/email /b: /p ul liResponder a las consultas de los clientes de manera profesional y cordial. /li liGestionar solicitudes a través de diferentes canales de comunicación (teléfono, correo electrónico, chat en vivo). /li liResolver dudas sobre productos, servicios o procedimientos. /li /ul pbResolución de problemas y quejas /b: /p ul liEscuchar y comprender las necesidades o problemas de los clientes. /li liProponer soluciones efectivas y satisfactorias. /li liGestionar y dar seguimiento a las quejas, asegurándose de que se resuelvan adecuadamente. /li /ul pbGestión de pedidos y transacciones /b: /p ul liAyudar a los clientes a realizar pedidos o realizar seguimiento de sus compras. /li liGestionar devoluciones, cambios o reclamaciones de productos. /li liActualizar y registrar información relevante de los clientes en la base de datos. /li /ul h3Requisitos /h3 pExperiencia mínima en logística o en un puesto similar. /p ul liHabilidades de comunicación efectiva (oral y escrita). /li liActitud positiva, paciencia y orientación al cliente. /li liConocimientos básicos en el manejo de herramientas digitales y plataformas de atención al cliente. /li liCapacidad para trabajar en equipo y bajo presión. /li liInglés escrito y hablado - nivel medio/alto. /li /ul h3Beneficios /h3 ul liContrato a tiempo completo. /li liSalario competitivo. /li liBuen ambiente de trabajo. /li liOportunidades de crecimiento y desarrollo dentro de la empresa. /li /ul pÚnete a Cargo Wine como Customer Service y sé parte de un equipo apasionado por el transporte internacional de vino. Ofrecemos oportunidades de crecimiento en un entorno dinámico y especializado. /p /p #J-18808-Ljbffr

ph3Overview /h3 pWe are seeking a Mid-Level MLOps Engineer to build, operate, and evolve our Kubeflow‑based ML platform on Azure. This role focuses on enabling reliable, scalable, and cost‑efficient ML workflows by designing CI/CD pipelines, managing Kubernetes‑based ML infrastructure, improving platform observability, and supporting MLE and Data Science teams across the model lifecycle. /p pThe ideal candidate is hands‑on, comfortable working across infrastructure and ML workflows, and motivated to operationalize best practices in MLOps. /p h3Responsibilities /h3 h3Platform Infrastructure /h3 ul liDeploy, configure, and operate Kubeflow components on Azure Kubernetes Service (AKS) /li liSupport Kubernetes workloads for training, inference, and batch pipelines /li liManage container images, registries, and ML runtime environments /li liAssist with Kubeflow and Kubernetes upgrades under senior guidance /li /ul h3CI/CD Automation /h3 ul liBuild and maintain CI/CD pipelines for ML workflows and platform services /li liAutomate model training, validation, and deployment pipelines /li liImplement reproducibility and versioning for data, models, and pipelines /li /ul h3Observability Reliability /h3 ul liImplement logging, monitoring, and alerting at the platform level /li liDiagnose and resolve workflow, pipeline, and infrastructure failures /li liSupport SLAs and reliability objectives for ML platforms /li /ul h3Collaboration Enablement /h3 ul liWork closely with MLEs and Data Scientists to onboard workflows onto Kubeflow /li liProvide best practices, templates, and documentation for ML teams /li liCollaborate with Infra and Security teams on access control and compliance needs /li /ul h3Cost Awareness Optimization /h3 ul liAssist with collecting and reporting costs at Kubeflow namespace or workflow level /li liIdentify optimization opportunities related to compute usage and scheduling /li /ul h3Qualifications /h3 ul li3–6 years of experience in MLOps, DevOps, or Platform Engineering /li liHands‑on experience with Kubeflow, Kubernetes, Terraform (IaC), and containerized ML workloads /li liStrong experience with Azure cloud services (AKS, ACR, Storage, Networking, IAM, AD Groups) /li liProficiency in Python and familiarity with ML frameworks (TensorFlow, PyTorch, scikit‑learn) /li liExperience building CI/CD pipelines (GitHub Actions, Azure DevOps, Argo, etc.) /li liUnderstanding of ML lifecycle management (training, inference, monitoring, retraining) /li liFamiliarity with observability tools (Prometheus, Grafana, Azure Monitor, DataDog) /li liStrong collaboration and communication skills /li /ul h3Benefits /h3 ul liHybrid work model: combination of remote and collaborative office experience to enable innovation /li liEntrepreneurial environment in leading international company /li liProfessional growth possibilities learning opportunities /li liVariety of benefits to support your physical, emotional and financial wellbeing /li liVolunteering opportunities to help external communities /li /ul h3About PepsiCo /h3 pWe believe that culture should be at the cornerstone of everything we do at PepsiCo. We are agile, innovative and not afraid of failure. We want our team to come to work every day excited to explore new ways to bring enjoyment, refreshment and fun to the world. /p pPepsiCo Positive (pep+) is the future of our organization – a strategic end‑to‑end transformation, with sustainability at the center of how we will create growth and value by operating within planetary boundaries and inspiring positive change for the planet and people. /p pSo, if you’re ready to be a part of a playground for those who think big, we’d love to chat. /p p*We encourage the diversity of applicants across gender, age, ethnicity, nationality, sexual orientation, social background, religion or belief and disability. /p /p #J-18808-Ljbffr

Slovak) Chat Support Consultant, crypto (Remote). Deliver outstanding customer support in crypto trading via live chat and email, promptly addressing inquiries and complaints. At least 6‑12 months of live chat support experience, preferably in crypto or financial services.

Por favor, presente su candidatura sin demora si su perfil encaja bien con este puesto, debido al alto nivel de interés.AI Company in Barcelona is seeking an AI/ML engineer to own end-to-end conversational AI deployments for a key enterprise client.You will design prompts, build knowledge bases, an

This remote position involves providing exceptional support in crypto trading through live chat and managing customer inquiries effectively. Applicants should have previous live chat experience, and a strong understanding of financial topics is preferred. A global customer support provider is seekin

We are seeking a Lead Machine Learning Engineer to join the Chat Evaluations team and drive production ML work that powers engaging conversations and better user insights.

Paid access to multiple AI platforms (ChatGPT, Codex, Claude) and the latest AI coding models. This really does vary but could be: creating chatbots to coach our users around their financial health, creating classifiers to better understand transaction data or even optimising transactions within our