Qualifications

• 8+ years of experience in ML/AI engineering, with leadership roles
• Proven end-to-end leadership in ML initiatives
• Expertise in LLMs and agentic systems, particularly for customer applications
• Strong grasp of deep learning, transformers, and model evaluation
• Experience in scaling production ML systems focusing on reliability
• Ability to lead engineers and influence architecture decisions
• Adaptable in early-stage environments, requiring high ownership
• Excellent communication skills for simplifying complex ML topics

Responsibilities

• Lead the entire ML/AI function, setting strategic direction
• Architect the development of advanced AI systems for real-world applications
• Define evaluation standards and metrics for ongoing agent quality enhancement
• Drive the implementation of reliable and scalable ML systems
• Build and mentor a high-performing ML engineering team
• Establish best practices for modeling, experimentation, and deployment

Benefits

• Opportunity to set technical standards company-wide
• Influence the architecture of innovative AI solutions
• Mentorship opportunities to build future ML talent
• Work in a dynamic, early-stage environment with high ownership
• Engage in projects with real-world impact beyond model performance