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FordEngineering
Staff Engineer, Ford Pro Intelligence
United StatesPosted 24 days ago
Seeking a visionary Staff Engineer to lead data and AI-driven platforms, focusing on real-time data processing, AI integration, and scalable system architecture on Google Cloud Platform.
Location: United States
Responsibilities
- Serve as the technical North Star for data and AI-driven platforms.
- Evolve core architecture towards real-time data processing and AI integration.
- Design systems handling petabytes of data with millisecond latency.
- Architect multi-tenant API ecosystems.
- Build infrastructure for AI solutions that enhance customer experience.
- Influence multi-year technical roadmap and maintain high engineering standards.
Requirements
- Expert-level proficiency in Java and Python.
- Strong experience with Kotlin for backend services.
- Deep experience with GCP, including BigQuery, Dataflow, Vertex AI, GKE, and IAM.
- Mastery of SQL and data modeling.
- Proven track record in building real-time processing systems and batch ETL/ELT pipelines.
- Experience deploying AI/ML models in production, prompt engineering, fine-tuning, and working with vector databases.
- Expert knowledge of distributed systems, CAP theorem, microservices, and event-driven architecture.
- Strategic thinking to identify opportunities for innovation.
- Excellent communication skills to explain complex concepts to non-technical stakeholders.
- Ability to execute projects in a fast-paced environment and navigate ambiguity.
Skills & Tags
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