Lead the design and delivery of complex ML and GenAI systems, ensuring solutions are robust, scalable, and aligned with business goals
Guide the team in end-to-end model development from experimentation and evaluation through deployment and monitoring, focusing on reproducibility and reliability
Drive architectural decisions for data-intensive, AI-driven applications, balancing cutting-edge approaches and production readiness
Mentor and grow engineers across levels, sharing best practices in software engineering, ML/AI, and cloud infrastructure
Collaborate cross-functionally with stakeholders to shape roadmaps, scope projects, and balance technical innovation with delivery
Champion engineering excellence including coding standards, CI/CD pipelines, observability, and incident management
Be a visible technical leader pushing adoption of AI/ML across teams and influencing company-wide strategy
Build large-scale AI powered systems and work alongside researchers and engineers to apply latest techniques
Requirements
Proven experience leading engineering teams in a high-growth, fast-paced environment
Experience mentoring engineers, conducting performance reviews, and building inclusive, high-performing teams
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