Capgemini
Capgemini
Capgemini tashkilotlarga o‘z faoliyatini o‘zgartirish va boshqarishda yordam beradigan konsalting va texnologik xizmatlar kompaniyasidir. Uning faoliyati aerokosmik, avtomobilsozlik, bank ishi, sog‘liqni saqlash va logistika kabi sohalarni qamrab oladi; xizmatlari esa bulutli texnologiyalar, kiberxavfsizlik, ma’lumotlar va sun’iy intellekt hamda korxonalarni boshqarishni o‘z ichiga oladi. Capgemini raqamli transformatsiyaga yondashuvining bir qismi sifatida innovatsiya va barqaror rivojlanishga ham e’tibor qaratadi. Kompaniya innovatsion va xilma-xil ishchi kuchini shakllantirishga urg‘u bergan holda, turli kasblar hamda tajriba darajalaridagi mutaxassislarni ishga qabul qiladi.

Data Scientist, Conversational AI — Capgemini (Onsite)

Design and deliver Google Cloud conversational AI solutions for enterprise customers. Build customer experience systems with Gemini, Dialogflow CX, Vertex AI, and related cloud technologies.

Tavsif

  • Create, develop, and launch conversational AI solutions with Dialogflow CX, Gemini-powered Conversational Agents, CCAI, and Customer Engagement Suite (CES)
  • Design AI-driven virtual agents, voice bots, digital assistants, agent-assist tools, and self-service customer experience platforms
  • Build scalable Python backend services and integrations across Google Cloud
  • Develop and improve Generative AI, Retrieval-Augmented Generation (RAG), Vector Search, Agentic AI, and Knowledge Grounding capabilities
  • Connect AI solutions with CRM, contact center, ERP, knowledge management, and custom APIs
  • Create and deploy cloud-native applications with Vertex AI, Cloud Run, Cloud Functions, Pub/Sub, BigQuery, GKE, and API Gateway
  • Facilitate customer workshops, technical discovery, architecture reviews, and implementation planning
  • Diagnose and improve conversational design, NLU performance, prompt engineering, conversation flows, and production deployments
  • Partner with customer engineering teams to establish best practices, increase adoption, and deliver measurable business results

Talablar

  • Bachelor’s degree in computer science, engineering, information systems, or a related discipline
  • At least five years of software engineering experience with advanced Python skills
  • Practical experience delivering Google Contact Center AI (CCAI), Dialogflow CX, Customer Engagement Suite (CES), and Vertex AI implementations
  • Background designing and delivering enterprise conversational AI and Generative AI solutions
  • Strong knowledge of REST APIs, microservices, cloud-native architecture, and system integration
  • Experience working with enterprise customers and leading technical engagements
  • Experience with Gemini, Vertex AI Agent Builder, RAG architectures, vector databases, and multi-agent systems is preferred
  • Experience modernizing enterprise contact centers and customer service operations is preferred
  • Google Cloud professional certifications are preferred
  • Five to ten-plus years in software engineering, AI engineering, conversational AI, contact center technology, or cloud solution delivery, with a record of delivering customer-facing AI solutions on Google Cloud

Imtiyozlar

  • 12–25 vacation days, depending on grade
  • Company-paid holidays
  • Personal days
  • Sick leave
  • Medical, dental, and vision coverage, or coordination with provincial healthcare in Canada
  • Retirement savings programs, such as a U.S. 401(k) or Canadian RRSP
  • Life and disability insurance
  • Employee assistance programs
  • Additional benefits determined by local policy and eligibility
  • Variable incentives, bonuses, or commissions may apply depending on the role and applicable law

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Ochish