Tech Stack

Description

You will partner with product, design, and engineering teams to identify high-impact AI/ML opportunities, prototype and productionize AI systems, and develop scalable infrastructure for AI features like recommendations and natural language interfaces. Your work will directly power how thousands of enterprises interact with data.

Requirements

• 10+ years building and deploying production-grade AI/ML systems
• Deep knowledge of machine learning, deep learning, and applied AI
• Experience across full ML lifecycle: data curation, training, deployment, monitoring
• Experience adapting or training foundation models for novel domains
• Bachelor's degree in Computer Science, Engineering, Mathematics, or related field

Responsibilities

• Identify and prototype high-impact AI/ML opportunities with product and engineering teams
• Build and productionize AI systems for recommendations, natural language interfaces, and agentic workflows
• Develop and scale AI/ML infrastructure for internal and customer-facing features
• Solve novel UX problems at the intersection of AI, BI, and apps