Source description
About the role
Company Description: - iMerit is a premier AI data solutions provider, offering high-quality, end-to-end data labeling services across industries such as autonomous vehicles, agricultural AI, medical AI, geospatial, and financial services. - With expertise in computer vision, natural language processing, and content services, iMerit delivers data that powers machine learning and artificial intelligence applications for Fortune 500 companies. - Headquartered in the United States, iMerit operates globally with teams in the US, India, Bhutan, and Europe. - Backed by investors like Omidyar Network, Dell.org, Khosla Ventures, and British International Investment, iMerit focuses on innovation, scalability, and quality in data solutions for diverse sectors. Role Overview: The Senior Manager - AI/ML Data Operations will lead large-scale data annotation and AI training. data programs supporting autonomous driving and advanced perception systems. The role: - Oversees multi-project delivery, operational excellence, quality governance, and workforce strategy while working closely with global clients and leadership teams. Education Qualifications: - Bachelor's Degree in Computer Science, Engineering, Data Science, or Management (Master's preferred). Preferred Certifications: - PMP (Project Management Professional). - Agile / Scrum Certification. - Six Sigma (Green Belt / Black Belt). Key Responsibilities: - Lead end-to-end delivery of AI/ML data operations programs for autonomous driving datasets. - Oversee multiple concurrent projects involving large-scale annotation teams. - Ensure delivery against SLAs, quality targets, and aggressive production timelines. - Build strategic partnerships with global automotive clients and customer success teams. - Act as escalation point for Tier-1 automotive OEMs and AV companies. - Drive continuous improvement initiatives for faster, cheaper, better outcomes. - Lead and mentor Project Managers, Team Leads, and annotation teams. - Implement quality assurance frameworks and conduct quality reviews. - Identify operational risks and implement mitigation strategies. Technical Expertise: - Multi-modal sensor knowledge including Camera, LiDAR point clouds, and 4D Radar. - Understanding of Sensor Fusion, Occlusion, Truncation, Ego-vehicle compensation, Temporal. - Tracking, and FPS synchronization. - Proficiency in Microsoft Excel (advanced), PowerPoint, Word, and Google Workspace. Communication & Leadership: - Exceptional verbal and written communication skills (CEFR C1 preferred). - Fluent in English with Tamil proficiency for workforce management. - Strong mentoring, coaching, and stakeholder presentation capabilities. What Success Looks Like: - Consistent delivery of high-quality AI training data programs. - Strong client satisfaction and program expansion. - Scalable workforce operations and productivity improvements. - High annotation accuracy and operational efficiency. Company Description: - iMerit is a premier AI data solutions provider, offering high-quality, end-to-end data labeling services across industries such as autonomous vehicles, agricultural AI, medical AI, geospatial, and financial services. - With expertise in computer vision, natural language processing, and content services, iMerit delivers data that powers machine learning and artificial intelligence applications for Fortune 500 companies. - Headquartered in the United States, iMerit operates globally with teams in the US, India, Bhutan, and Europe. - Backed by investors like Omidyar Network, Dell.org, Khosla Ventures, and British International Investment, iMerit focuses on innovation, scalability, and quality in data solutions for diverse sectors. Role Overview: The Senior Manager - AI/ML Data Operations will lead large-scale data annotation and AI training. data programs supporting autonomous driving and advanced perception systems. The role: - Oversees multi-project delivery, operational excellence, quality governance, and workforce strategy while working closely with global clients and leadership teams. Education Qualifications: - Bachelor's Degree in Computer Science, Engineering, Data Science, or Management (Master's preferred). Preferred Certifications: - PMP (Project Management Professional). - Agile / Scrum Certification. - Six Sigma (Green Belt / Black Belt). Key Responsibilities: - Lead end-to-end delivery of AI/ML data operations programs for autonomous driving datasets. - Oversee multiple concurrent projects involving large-scale annotation teams. - Ensure delivery against SLAs, quality targets, and aggressive production timelines. - Build strategic partnerships with global automotive clients and customer success teams. - Act as escalation point for Tier-1 automotive OEMs and AV companies. - Drive continuous improvement initiatives for faster, cheaper, better outcomes. - Lead and mentor Project Managers, Team Leads, and annotatio