Job Description
Responsibilities End-to-End Solution Delivery: Lead the full lifecycle of custom AI projects—from initial customer design and technical architecture to testing and production implementation.
Production Stewardship: Take ownership of the last mile of delivery. This includes triaging technical tickets, analyzing logs (Datadog/Kibana), and debugging production issues in customer-specific AI workflows.
Applied Data Engineering: Use SQL, Python, and Spark to transform disparate, messy customer datasets into clean, high-performing inputs for our AI engine.
Stakeholder Collaboration: Partner directly with customer marketing teams and internal Product Managers to explain technical logic and ensure AI solutions meet business objectives.
Cross-Functional Collaboration: Partner with the other teams across Blueshift to optimize data pipelines and debug distributed systems.
Agentic Productivity: Integrate AI agents (like GitHub Copilot or custom internal agents) into the development ...
Production Stewardship: Take ownership of the last mile of delivery. This includes triaging technical tickets, analyzing logs (Datadog/Kibana), and debugging production issues in customer-specific AI workflows.
Applied Data Engineering: Use SQL, Python, and Spark to transform disparate, messy customer datasets into clean, high-performing inputs for our AI engine.
Stakeholder Collaboration: Partner directly with customer marketing teams and internal Product Managers to explain technical logic and ensure AI solutions meet business objectives.
Cross-Functional Collaboration: Partner with the other teams across Blueshift to optimize data pipelines and debug distributed systems.
Agentic Productivity: Integrate AI agents (like GitHub Copilot or custom internal agents) into the development ...
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