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Welldoc
Welldoc
51 – 200 कर्मचारी
H1B वीज़ा प्रायोजककृत्रिम बुद्धिमत्तास्वास्थ्य बीमास्वास्थ्य सेवा
Welldoc एक स्वास्थ्य प्रौद्योगिकी कंपनी है, जो दीर्घकालिक रोगों के प्रबंधन के लिए कृत्रिम बुद्धिमत्ता आधारित डिजिटल उपकरण विकसित करती है। इसका प्लेटफ़ॉर्म मधुमेह, उच्च रक्तचाप, हृदय विफलता, वज़न प्रबंधन, प्रीडायबिटीज़ और मानसिक स्वास्थ्य सहित विभिन्न क्षेत्रों में व्यक्तिगत जानकारी और सहायता प्रदान करता है। कंपनी का प्रमुख BlueStar उत्पाद मधुमेह के स्व-प्रबंधन के लिए FDA से मंज़ूर है और 400 से अधिक उपकरणों से जुड़ता है। Welldoc बेहतर हस्तक्षेप, जनसंख्या स्वास्थ्य परिणामों और अधिक कुशल देखभाल में सहायता करने के लिए स्वास्थ्य योजनाओं, स्वास्थ्य सेवा प्रणालियों और नियोक्ताओं के साथ काम करती है।
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कंपनी की नौकरियाँ

Associate Director, Data and AI – Welldoc, Bangalore Hybrid

Lead healthcare data platforms and generative AI products, including RAG systems and agentic workflows. Build compliant solutions across Databricks, Azure, and US healthcare standards.

INभारतहाइब्रिडपूर्णकालिकवरिष्ठआवश्यक भाषा: अंग्रेज़ीकृत्रिम बुद्धिमत्ता
AzureETLक्लाउड

विवरण

  • Own the strategy, roadmap, and end-to-end delivery of enterprise data platforms and AI/LLM products.
  • Partner with business stakeholders to uncover needs and translate workflows into scalable data and AI solutions.
  • Maintain compliance with applicable US healthcare standards and regulations across data and AI products.
  • Architect and direct generative AI applications, RAG pipelines, and autonomous agent workflows.
  • Create orchestration architectures with frameworks such as LangChain and LangGraph.
  • Assess and integrate foundation models including Anthropic Claude, Azure OpenAI, and open-source options.
  • Develop safeguards for content safety, hallucination detection, and prompt-injection protection.
  • Lead data architecture across Databricks and the Microsoft Azure ecosystem.
  • Oversee scalable ETL/ELT pipelines, data models, and healthcare integrations using FHIR, HL7, and EHR data.
  • Improve lakehouse performance, query response times, and storage efficiency in partnership with data engineering teams.
  • Define enterprise Data and AI Governance practices covering lineage, cataloging, access controls, and model explainability.
  • Build and expand AIOps and MLOps capabilities for monitoring, prompt logging, drift detection, model evaluation, and cost control.
  • Work with Information Security and Regulatory teams to support compliance requirements.
  • Prototype, develop, and scale AI-first products with product, data, and engineering partners.
  • Engage with clients periodically and explain complex technical topics to business leaders.

आवश्यकताएँ

  • At least 15 years of professional experience.
  • Advanced hands-on expertise in Retrieval-Augmented Generation pipelines.
  • Working knowledge of frontier models such as GPT-4, Claude, and LLaMA.
  • Experience with orchestration tools including CrewAI, LangGraph, AutoGen, or the OpenAI SDK.
  • Strong communication and stakeholder management capabilities.
  • Track record of taking enterprise data platforms and AI/LLM products from concept through production.
  • Experience applying US healthcare standards and regulations, including HIPAA, HITRUST, SOC 2, and PHI/PII controls.
  • Hands-on experience with LLM orchestration frameworks such as LangChain and LangGraph.
  • Direct experience using advanced foundation models, including Anthropic Claude and GPT-4, through APIs or cloud deployments.
  • Strong understanding of AI guardrails, including NVIDIA NeMo Guardrails, Llama Guard, Guardrails AI, or custom validation pipelines.
  • Experience operationalizing AI systems through monitoring, RAGAS or TruLens evaluation, observability, and prompt versioning.
  • Experience with healthcare interoperability standards such as FHIR and HL7 is preferred.
  • Hands-on experience with vector databases such as Pinecone, Qdrant, Azure AI Search, and Databricks Vector Search is preferred.
  • Certifications such as Azure Solutions Architect, Databricks Certified Data Engineer or Machine Learning Professional, or Scrum Product Owner are preferred.

लाभ

  • Hybrid work arrangement.
  • Work from the office four days per week.

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Inside Sales Representative, SaaS

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