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Role: Google BigQuery AI/ML Engineer - Remote (India only)

IndiaPosted 4 months ago
Data Science And StatisticsSeniorFull Time
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Job Title: Google BigQuery AI/ML Engineer Location: Remote (India only) Experience: 6+ Years Duration: 6+ Months Contract 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

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