UI Path Engineer, Azure AI

Job not on LinkedIn

🔥 6 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

☁️ Cloud Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 11%

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Logo of Tiger Analytics

Tiger Analytics

1001 - 5000 employees

Founded 2011

🏥 Healthcare

📦 Logistics

📣 Marketing

Healthcare • Logistics • Marketing

Tiger Analytics is a leading AI and analytics consulting firm that specializes in leveraging data science and machine learning to provide strategic business insights across various industries. They offer services in data strategy, AI engineering, and business intelligence to enable data-driven decision-making and digital transformation for their clients. Tiger Analytics collaborates with top technology partners like Microsoft, Google Cloud, and AWS to deliver cutting-edge solutions. They serve a diverse range of sectors including consumer packaged goods, healthcare, and finance, helping businesses operationalize insights and differentiate with AI and machine learning technologies.

📋 Description

• Drive on-site deployment, integration, and scaling of enterprise Generative AI solutions • Embed directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across Azure • Bridge the gap between AI research and production-grade cloud infrastructure • Collaborate with cross-functional teams and business partners • Leverage analytical skills to ensure business value and communicate results • Drive current and future strategy

🎯 Requirements

• Proven track record of producing clear, precise, and structured requirement documents (PDD, SDD, User Stories) • Working understanding of the UiPath ecosystem (Studio, Orchestrator, Document Understanding, Action Center) • Familiarity with Azure AI concepts • Strong grasp of software automation principles, API integrations, software development lifecycle (SDLC) methodologies (Agile/Scrum), and system architecture basics • Proficiency in process mapping tools (e.g., Microsoft Visio, Lucidchart, Signavio, or Bizagi) • 7+ years of industry experience in software engineering, machine learning, or AI-focused roles • Strong hands-on experience with LangGraph and building agentic workflows • Proven experience in fine-tuning LLMs, including supervised fine-tuning and reinforcement learning-based methods • Strong background in experimental design, model evaluation, and statistical analysis • Demonstrated ability to reduce hallucinations using techniques beyond creative prompting • Proficiency in Python and experience with modern ML/AI frameworks

🏖️ Benefits

• Significant career development opportunities • Small, fast-growing, challenging and entrepreneurial environment • High degree of individual responsibility • Equal employment opportunities without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law

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