EXL
EXL
EXL एक व्यावसायिक परामर्श और सेवाएँ प्रदान करने वाली कंपनी है, जो संगठनों को डेटा, विश्लेषण और प्रौद्योगिकी का उपयोग करके संचालन में सुधार करने और बेहतर निर्णय लेने में सहायता करती है। इसके कार्यों में संचालन प्रबंधन, निर्णय विश्लेषण और डिजिटल रूपांतरण शामिल हैं। कंपनी को स्वास्थ्य सेवा, बीमा, वित्त और लॉजिस्टिक्स के क्षेत्रों में ग्राहकों का सहयोग करने का अनुभव है। EXL डेटा विज्ञान को व्यावहारिक व्यावसायिक विशेषज्ञता के साथ जोड़कर ऐसे समाधान विकसित करती है, जो प्रत्येक संगठन के लक्ष्यों, संचालन मॉडल और उद्योग-परिस्थिति के अनुरूप होते हैं।

GenAI Architect at EXL (Hybrid, India)

Shape enterprise generative AI solutions with large language models, from architecture and integration to deployment. Support responsible adoption through governance, security, and collaboration with business and engineering teams.

विवरण

  • Create end-to-end generative AI solutions with LLMs such as GPT and Gemini.
  • Set system architecture for APIs, pipelines, and integrations.
  • Select suitable models, frameworks, and cloud platforms.
  • Assess and choose foundation models and LLMs.
  • Customize models through prompt engineering, RAG, and fine-tuning datasets.
  • Connect generative AI solutions to enterprise CRM, ERP, and application systems.
  • Deploy on Azure AI/OpenAI, AWS Bedrock, and Google Vertex AI.
  • Protect data privacy and security while meeting compliance needs.
  • Apply responsible AI methods, including bias reduction and explainability.
  • Track model performance and accuracy.
  • Partner with business stakeholders to identify generative AI opportunities.
  • Advise engineering teams on implementation.
  • Provide technical leadership for AI adoption.

आवश्यकताएँ

  • Bachelor’s or master’s degree in computer science, AI, data science, or a related discipline.
  • 5–12+ years of experience in software engineering, machine learning, or AI roles.
  • Background working with enterprise-scale systems.
  • Strong grounding in machine learning and deep learning.
  • Strong understanding of large language models (LLMs).
  • Knowledge of natural language processing (NLP).
  • Experience with Python, APIs, and microservices.
  • Experience with AI frameworks such as TensorFlow, PyTorch, and LangChain.
  • Experience with Azure, AWS, or Google Cloud Platform.
  • Experience in prompt engineering, RAG architectures, and LLM fine-tuning.
  • Experience with vector databases such as Pinecone or FAISS.
  • Strong problem-solving ability.
  • Able to explain AI concepts to nontechnical teams.
  • Strategic thinking.

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