Role: Google BigQuery AI/ML Engineer – Remote (India only) Full Time

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