Dynamic Data Developer for Scalable Data Engineering Projects
Summary
Build and optimize data pipelines and lakes for AI systems, focusing on RAG architectures and data quality to support machine learning research and analytics.
Transform data strategies as a Data Developer dedicated to AI advancements. Lead the building of data pipelines and manage processing workflows to optimize analytical results.
This role sits within an AI and Multi-Asset systematic strategies team, where your expertise in data systems will empower research and analytics. You will be responsible for constructing clean and accessible data lakes and establishing monitoring frameworks to evaluate system performance. Collaborate closely with machine learning specialists, implement cutting-edge technologies, and contribute ideas that advance the team's mission.
Key Responsibilities:
• Build advanced data pipelines for RAG systems
• Ensure data cleanliness in centralized lakes
• Develop workflows for fine-tuning data sets
• Create evaluation frameworks for system performance
• Drive initiatives for data quality improvement
Requirements:
• Bachelor's or Master's degree in relevant fields
• 2-5 years of experience in data systems
• Strong knowledge of RAG architectures
• Proficient in Python with orchestration expertise
• Familiarity with distributed data processing frameworks
Advance your career by enhancing data practices that power sophisticated AI tools and solutions.