
Head of AI, Data
Posted Jul 17

Posted Jul 17
This is a fully remote position, open to applicants in California.
• Oversee the design and development of AI/ML models aimed at prediction, decision-making, and automation.
• Create AI agent systems utilizing large language models (LLMs) and structured financial data.
• Establish model architecture, training methodologies, evaluation strategies, and iteration cycles.
• Enhance model performance focusing on accuracy, reliability, and interpretability.
• Develop and expand data pipelines that facilitate both real-time and batch processing.
• Design data architecture for managing structured and unstructured financial data.
• Ensure the quality, consistency, lineage, and security of data.
• Assist in integrating various data sources throughout banking workflows.
• Deploy models in production environments ensuring high reliability and uptime.
• Verify that systems comply with enterprise standards (latency, scalability, observability).
• Create monitoring systems to detect model drift, performance issues, and anomalies.
• Convert financial workflows into AI-enhanced systems.
• Collaborate closely with product and domain specialists to ensure practical applicability.
• Proven experience in building and deploying production-grade ML/AI systems.
• Strong foundation in machine learning, data engineering, or applied artificial intelligence.
• Experience with large-scale datasets and model pipelines.
• Practical skills in designing and delivering systems (beyond just research).
• Solid understanding of model evaluation and system performance metrics.
• Experience with LLMs, agent-based systems, or foundation models is preferred.
• Background in leading AI, infrastructure, or data-oriented companies is preferred.
• Experience in fintech, financial data, or regulated sectors is preferred.
• Familiarity with scalable cloud data/ML infrastructure (AWS, GCP, etc.) is preferred.
• Experience in developing systems from early-stage concepts to production scale is preferred.
• Competitive salary and performance-based bonuses.
• Comprehensive health and wellness benefits.
• Opportunities for professional development and career advancement.
• Flexible work hours and remote work options.
• Collaborative and innovative work environment.
Leega
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