Tiger Analytics
Tiger Analytics
Tiger Analytics एक एआई और एनालिटिक्स परामर्श कंपनी है, जो संगठनों को जटिल डेटा को व्यावहारिक व्यावसायिक निर्णयों में बदलने में मदद करती है। इसका काम डेटा रणनीति, मशीन लर्निंग, एआई इंजीनियरिंग और बिज़नेस इंटेलिजेंस तक फैला है, जिसमें एनालिटिक्स को रोज़मर्रा के संचालन और व्यापक डिजिटल परिवर्तन कार्यक्रमों में शामिल करने पर ध्यान दिया जाता है। यह कंपनी स्वास्थ्य सेवा, लॉजिस्टिक्स, मार्केटिंग, उपभोक्ता वस्तुओं और वित्त सहित विभिन्न उद्योगों में काम करती है। डेटा-आधारित समाधान विकसित करने और उन्हें बड़े स्तर पर लागू करने के लिए यह क्लाउड तकनीकों तथा Microsoft, Google Cloud और AWS जैसे प्रदाताओं के साथ साझेदारियों का उपयोग करती है।

Senior UiPath Engineer, Azure AI — Remote in United States

Deploy UiPath automation and Azure Generative AI solutions for enterprise customers. Build LangGraph agentic workflows and production-ready LLM infrastructure.

विवरण

  • Deploy, integrate, and scale enterprise Generative AI solutions at customer sites.
  • Work within customer engineering teams to operationalize LLMs and Azure-based retrieval systems.
  • Translate AI research into reliable, production-grade cloud infrastructure.
  • Partner with cross-functional teams and business stakeholders.
  • Apply analytical expertise to demonstrate business value and communicate outcomes.
  • Help shape both current initiatives and long-term strategy.

आवश्यकताएँ

  • Demonstrated ability to create clear, precise, structured requirement documents, including PDDs, SDDs, and user stories.
  • Working knowledge of the UiPath ecosystem, including Studio, Orchestrator, Document Understanding, and Action Center.
  • Understanding of Azure AI concepts.
  • Strong knowledge of automation principles, API integration, SDLC methodologies such as Agile/Scrum, and fundamental system architecture.
  • Proficiency with process-mapping tools such as Microsoft Visio, Lucidchart, Signavio, or Bizagi.
  • At least seven years of industry experience in software engineering, machine learning, or AI-focused roles.
  • Extensive hands-on experience with LangGraph and agentic workflow development.
  • Experience fine-tuning LLMs through supervised fine-tuning and reinforcement learning-based techniques.
  • Strong foundation in experimental design, model evaluation, and statistical analysis.
  • Ability to mitigate model hallucinations through methods beyond creative prompting.
  • Proficiency in Python and experience using modern machine learning and AI frameworks.

लाभ

  • Substantial opportunities for professional growth and career advancement.
  • Work in a small, fast-growing, demanding, entrepreneurial environment.
  • Take on a high level of individual ownership and responsibility.
  • Equal employment opportunities are provided without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability, or any other status protected by applicable federal, state, or local law.

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