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About the role
- Design and lead the companys modern data platform architecture. Design and lead the companys modern data platform architecture. Build scalable systems for data ingestion, processing, transformation, and storage. Enable reliable and governed data access for analytics, ML models, and AI applications. Build and manage large-scale data pipelines and ETL/ELT systems. Implement modern architectures such as : Ensure scalability, reliability, and performance of data infrastructure. Build infrastructure for training, deploying, and monitoring ML models. Develop scalable ML pipelines and feature engineering systems. Enable product teams to embed AI-powered capabilities into AI & LLM Systems : Drive adoption of Generative AI technologies across products. Design systems using large language models (LLMs) for intelligent automation and data-driven applications. Build architectures for : Evaluate and integrate modern GenAI frameworks and tooling. Build and maintain infrastructure for : Establish MLOps best practices for reliable production ML systems. Implement frameworks for : Partner with product engineering teams to enable: Build and lead the Data & AI/ML Engineering Pod. Mentor data engineers, ML engineers, and AI engineers. Define the technical roadmap for data and AI systems. Establish best practices for data engineering, ML systems, and AI infrastructure. Drive adoption of AI and GenAI capabilities across engineering teams. Data pipelines and distributed data processing Data lake / lakehouse architectures Streaming and real-time data processing Large-scale analytics platforms Strong experience in : ML pipelines and feature stores Model training and deployment ML model monitoring and lifecycle management Strong understanding of : Strong background in large-scale data systems. Good understanding of Generative AI and LLM-based applications. Familiarity with geospatial or location intelligence data. Define the data and AI strategy for the company. Build scalable data platforms and AI infrastructure. Enable product teams to leverage data, ML, and GenAI capabilities. Drive innovation through AI-powered product development. .
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