Delivery Manager - Machine Learning - US

10+ years of experience in engineering, program management, or delivery of large-scale projects. Proven ability to lead and scale large teams (100+ members) with measurable impact. Strong technical grounding in AI/ML, data annotation, and multimodal systems. Proficiency in Python (preferred) or Swift for data analysis and automation. Strong mathematical and analytical skills for data-driven problem solving. Experience in data curation, annotation pipelines, and quality control. Excellent communication and stakeholder management skills. Track record of driving high-quality outputs under tight deadlines.

Lead, mentor, and grow large-scale teams of annotators and trainers. Drive performance management, career development, and targeted training. Foster a culture of excellence, ownership, and continuous learning. Design and implement motivation strategies (including gamification). Define and manage project scope, objectives, timelines, and quality metrics. Align with cross-functional stakeholders on goals and deliverables. Proactively identify and resolve delivery risks, blockers, and dependencies. Provide clear and consistent reporting on progress, challenges, and solutions. Own quality control and data integrity across the annotation lifecycle. Analyze datasets to identify trends, anomalies, and insights for improvement. Implement best practices for annotation, evaluation, and data curation. Share learnings and continuously improve quality processes. Partner with engineering and research teams to optimize internal tooling. Stay ahead of emerging trends in AI, ML, and multimodal processing. Champion innovations that reduce task completion times and improve efficiency. Maintain clear and scalable documentation for processes and training.