.. rebates, and other benefits for the manufacturing site. Manage relationships with key stakeholders while also ensuring that key compliance processes are followed. External Stakeholder Management & Dispute Handling Assist in figuring out the best possible solutions for various problems and obtaining permission .. read more
Position Overview : We are seeking a highly skilled and tech-savvy Engineering Delivery Manager to oversee the execution of LLM training projects, focusing on multimodality, mathematics, and AI-related content. The ideal candidate will have a strong technical background, proven experience in managing large-scale delivery projects, and the ability to interface effectively with both technical teams and clients. This role requires a dynamic leader who can seamlessly blend technical know-how with business operations, project management, and client relations.
Primary Responsibilities:
> Team Leadership and Development: Lead, mentor, and develop a large team of annotators, ensuring they meet and exceed project goals. Conduct performance analyses, identify areas for improvement, and implement targeted training initiatives. Foster a culture of excellence, continuous learning, and employee engagement through development programs and performance reviews. Develop and implement strategies, including gamification, to motivate and recognize high-performing team members. > Project Management: Lead the delivery of LLM training projects in diverse areas like multimodality, mathematics, STEM etc, ensuring they are completed on time, within scope, and budget. Develop and manage detailed project plans, including timelines, resource allocation, and risk management strategies. Collaborate with cross-functional teams to define project objectives, deliverables, and quality standards. > Client Relations: Serve as the primary point of contact for clients, ensuring their expectations are met or exceeded. Conduct regular client meetings to provide project updates, address concerns, and strengthen client relationships. Foster long-term partnerships with clients to encourage repeat business and referrals. > Technical Collaboration: Work closely with technical teams to ensure that the latest advancements in AI, LLM, and multimodality are integrated into training projects. Provide technical guidance to the team and clients, leveraging your expertise in AI and machine learning concepts. Stay current with industry trends, emerging technologies, and best practices in AI and machine learning. Collaborate with the R&D team to integrate new technologies and methodologies into service offerings. > Operational Efficiency: Implement and optimize best practices for project delivery and operations to enhance efficiency and quality. Continuously improve delivery processes, leveraging data-driven insights to refine operations and project outcomes. Monitor key performance indicators (KPIs) and report on project delivery and operational performance.
Required Skills and Qualifications: 10+ years of experience in managing large-scale delivery projects, with a strong technical background. Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Data Science, Mathematics, AI). Proven leadership experience, with a strong track record of managing and developing high-performing teams. Extensive experience in data curation, annotation, and quality control processes. Ability to work on any kind of problem. Comfortable dealing with uncertainty, hearing NO's, navigating with 80% correct answers, and pushing through the darkness. Deep understanding of AI, machine learning, and multimodal data processing concepts. Strong mathematical skills, with the ability to apply advanced mathematical concepts to data analysis and problem-solving. Strong analytical skills, with the ability to analyze data sets, identify trends, and provide actionable insights. Excellent communication skills, capable of effectively conveying technical concepts to diverse audiences. Strong project management skills, with the ability to manage complex projects and cross-functional teams. Experience in data analysis, with proficiency in tools such as Python/Swift. Drive key metrics by ruthlessly focusing on high-ROI opportunities. Must have a proven record of creating sensible KPIs rather than just following industry best practices, many of which don't neatly apply when the lead is in an uncharted territory of innovation. Ability to work in a fast-paced environment, with a growth mindset and a focus on innovation.
Preferred Skills and Qualifications: Experience working with AI training projects and familiarity with LLM projects. Knowledge of gamification strategies to drive team motivation and performance. Familiarity with project management tools and methodologies. Prior experience in a tech consulting or product management role is a plus. SQL knowledge is advantageous.
Primary Responsibilities:
> Team Leadership and Development: Lead, mentor, and develop a large team of annotators, ensuring they meet and exceed project goals. Conduct performance analyses, identify areas for improvement, and implement targeted training initiatives. Foster a culture of excellence, continuous learning, and employee engagement through development programs and performance reviews. Develop and implement strategies, including gamification, to motivate and recognize high-performing team members. > Project Management: Lead the delivery of LLM training projects in diverse areas like multimodality, mathematics, STEM etc, ensuring they are completed on time, within scope, and budget. Develop and manage detailed project plans, including timelines, resource allocation, and risk management strategies. Collaborate with cross-functional teams to define project objectives, deliverables, and quality standards. > Client Relations: Serve as the primary point of contact for clients, ensuring their expectations are met or exceeded. Conduct regular client meetings to provide project updates, address concerns, and strengthen client relationships. Foster long-term partnerships with clients to encourage repeat business and referrals. > Technical Collaboration: Work closely with technical teams to ensure that the latest advancements in AI, LLM, and multimodality are integrated into training projects. Provide technical guidance to the team and clients, leveraging your expertise in AI and machine learning concepts. Stay current with industry trends, emerging technologies, and best practices in AI and machine learning. Collaborate with the R&D team to integrate new technologies and methodologies into service offerings. > Operational Efficiency: Implement and optimize best practices for project delivery and operations to enhance efficiency and quality. Continuously improve delivery processes, leveraging data-driven insights to refine operations and project outcomes. Monitor key performance indicators (KPIs) and report on project delivery and operational performance.
Required Skills and Qualifications: 10+ years of experience in managing large-scale delivery projects, with a strong technical background. Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Data Science, Mathematics, AI). Proven leadership experience, with a strong track record of managing and developing high-performing teams. Extensive experience in data curation, annotation, and quality control processes. Ability to work on any kind of problem. Comfortable dealing with uncertainty, hearing NO's, navigating with 80% correct answers, and pushing through the darkness. Deep understanding of AI, machine learning, and multimodal data processing concepts. Strong mathematical skills, with the ability to apply advanced mathematical concepts to data analysis and problem-solving. Strong analytical skills, with the ability to analyze data sets, identify trends, and provide actionable insights. Excellent communication skills, capable of effectively conveying technical concepts to diverse audiences. Strong project management skills, with the ability to manage complex projects and cross-functional teams. Experience in data analysis, with proficiency in tools such as Python/Swift. Drive key metrics by ruthlessly focusing on high-ROI opportunities. Must have a proven record of creating sensible KPIs rather than just following industry best practices, many of which don't neatly apply when the lead is in an uncharted territory of innovation. Ability to work in a fast-paced environment, with a growth mindset and a focus on innovation.
Preferred Skills and Qualifications: Experience working with AI training projects and familiarity with LLM projects. Knowledge of gamification strategies to drive team motivation and performance. Familiarity with project management tools and methodologies. Prior experience in a tech consulting or product management role is a plus. SQL knowledge is advantageous.