Data Developer Enhancing AI Pipelines for Systematic Strategies

Shape the future of AI in data engineering by developing essential data pipelines. Collaborate with experts to build solutions that optimize workflows for both structured and unstructured data. As a Data Developer in the AI and Multi Asset Systematic Strategies team, you will design and implement data pipelines for advanced systems. Your expertise will enable accessibility and reliability of data for analytics and research purposes. Key tasks include optimizing embeddings and architecting scalable solutions for data management. Key Responsibilities:

• Design data pipelines for document ingestion and chunking
• Build ingestion pipelines for centralized data processing
• Develop workflows for dataset optimization and preparation
• Implement monitoring frameworks for system performance
• Collaborate on data formats for GPU-accelerated inference

Requirements:

• Bachelor’s or Master’s in Computer Science or related field
• 2-5 years of experience in production data systems
• Strong expertise in RAG architectures and vector databases
• Proficient in Python and DAG-based orchestration
• Hands-on knowledge of semantic search systems

Elevate data management strategies while contributing to cutting-edge AI tools and practices that drive innovation. #J-18808-Ljbffr