Lead Cognitive Search Engineer

2 days ago

Coimbatore, Tamil Nadu, India beBeeData Full time ₹ 24,00,000 - ₹ 28,80,000
Search Data Architect

We are seeking a Search Data Architect to design and implement AI-powered search solutions using Azure Cognitive Search and related AI services.

Key Responsibilities:

  • Architect and implement cognitive search solutions utilizing Azure Cognitive Search, Azure Cognitive Services, and AI/ML frameworks.
  • Build data pipelines to ingest, index, and enrich data from various sources.
  • Enable natural language query capabilities for business users to interact with enterprise data.
  • Integrate semantic search, embeddings, and generative AI techniques for advanced insights.
  • Collaborate with cross-functional teams to define use cases in finance, operations, and reporting.
  • Partner with data lake and ADF pipeline teams to ensure seamless integration.
  • Employ agile, iterative delivery to validate and scale solutions rapidly.
  • Ensure compliance, data security, and ethical AI usage in search solutions.
  • Mentor team members on AI search and NLP best practices.

Required Skills and Qualifications:

  • Strong experience with Azure Cognitive Search, Azure Cognitive Services, and AI/ML frameworks.
  • Proficiency in SQL, data modeling, and data integration for search indexing.
  • Familiarity with embeddings, NLP, and vector search technologies.
  • Experience connecting search solutions to BI tools, reports, and dashboards.
  • Strong understanding of data governance and enterprise data management.

Requirements:

  • Bachelor's degree in Computer Science, IT, or related field.
  • 7–10 years of experience in data engineering, with 2+ years in cognitive search/NLP solutions.
  • Hands-on experience with Azure cloud ecosystem, Snowflake/Synapse, and modern data platforms.

About the Role:

This is a unique opportunity to work on cutting-edge AI-powered search solutions. If you have expertise in designing and implementing cognitive search solutions, we encourage you to apply.

Benefits:

  • Prominent role in shaping the future of AI-powered search solutions.
  • Opportunity to collaborate with experienced professionals in the field.
  • Chance to develop skills in emerging technologies like embeddings, NLP, and vector search.
  • Competitive compensation and benefits package.

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