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Snowrelic Inc Logo
Google BigQuery AI/ML Engineer

Snowrelic Inc

 

Bangalore, Karnataka, India

Posted On: 30+ days ago
Experience: 6+ years
Availability: Remote
Openings: 1
Category: Google BigQuery Engineer
Tenure: No Preference/Any
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Description

Must-Have Skills

  • Google BigQuery
  • SQL
  • LLMs (Gemini, Vertex AI, or equivalent)

Role Summary

Intellect IT is seeking a Google BigQuery AI/ML Engineer to design and build next-generation, AI-enabled analytics capabilities on top of Google BigQuery.

This role focuses on developing:

  • Natural-language query agents
  • Forecasting solutions
  • AI-powered insights

These solutions will be securely embedded into enterprise collaboration tools such as Microsoft Teams.

Key Responsibilities

  • Design and implement natural language query agents that translate user questions into optimized BigQuery SQL
  • Build and operationalize Gemini-powered AI workflows for analytics, summarization, and forecasting
  • Develop time-series forecasting models using BigQuery ML and integrate results with Gemini for explainability
  • Implement governance, access control, and auditability for AI-driven data access
  • Integrate AI capabilities into Microsoft Teams for seamless user adoption
  • Collaborate with data engineering, security, and business teams to ensure scalable and secure solutions
  • Optimize query performance, cost controls, and data reliability in BigQuery

Required Qualifications

  • Strong experience with Google BigQuery and SQL at enterprise scale
  • Hands-on experience with BigQuery ML or similar forecasting/statistical modeling frameworks
  • Experience working with LLMs (Gemini, Vertex AI, or equivalent) in enterprise environments
  • Knowledge of natural language-to-SQL patterns and retrieval-augmented generation (RAG)
  • Experience integrating data or AI services into collaboration tools (Teams, Slack, or similar)
  • Strong understanding of data security, RBAC, and enterprise governance

Preferred Qualifications

  • Experience with Vertex AI and model orchestration
  • Background in retail, supply chain, or enterprise analytics
  • Familiarity with prompt engineering, AI observability, and usage analytics
  • Experience designing internal productivity tools or analytics platforms

Education

Any Graduate

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