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Job Description
Structured overview of role & requirementsAbout This Role
Design and implement scalable data architectures to support analytics and business users, including batch and real-time large dataset solutions.
Enable data-level security and scalable cloud solutions specifically in dynamic environments such as Google Cloud Platform.
Enhance generative AI systems by evaluating and fine-tuning AI agents for accuracy, efficiency, and reliability; partner with business stakeholders to translate challenges into AI/data engineering solutions.
Minimum Requirements
Experience building and optimizing analytical datasets for business and AI use cases, including batch and streaming analytics.
Proficiency with Google Cloud Services BigQuery and Vertex AI in cloud environments.
Expert-level Python programming skills and strong SQL capabilities for complex data manipulation.
Work Experience Required: Not explicitly mentioned in the JD; Immigration sponsorship not available.
Ideal Candidate Profile
Experienced in integrated data engineering and AI roles within cloud platforms, particularly Google Cloud.
Capable of independently managing projects from concept through delivery with minimal supervision.
Familiarity with generative AI frameworks (LangChain, LlamaIndex, Hugging Face) and evaluation/optimization of AI agents is strongly preferred.