AI & ML Implementation Specialist

As a forward-thinking leader in the freight forwarding industry, you are looking for an experienced Product Owner to lead initiatives in Artificial Intelligence (AI) and Machine Learning (ML). The ideal candidate will have a strong background in implementing AI and ML solutions to enhance operational efficiency and automation, with knowledge of the Freight Forwarding industry being advantageous. **Key Responsibilities:** - Conduct in-depth analyses of existing manual processes within the organization to identify and prioritize areas for automation. - Develop and define the AI and ML strategy to streamline operations, enhance decision-making, and improve service delivery. - Collaborate with cross-functional teams to integrate AI tools effectively. - Ensure that AI and ML projects are delivered on time and within budget. - Guide the project lifecycle from conception through deployment, including requirement gathering, scope definition, sprint planning, and execution. - Engage regularly with stakeholders to gather feedback and adjust the AI implementation strategy as needed. - Define and track key performance indicators (KPIs) related to AI and ML projects. - Report on progress to senior management and recommend adjustments to project scopes based on data-driven insights. **Qualifications Required:** - Bachelor's or Master's degree in computer science, Data Science, Engineering, or a related field. - Minimum of 3 years of proven experience in managing and implementing AI and ML projects. - Strong understanding of process improvement methodologies. - Excellent communication, leadership, and project management skills. - Ability to work in a fast-paced and dynamic environment. - Experience with agile development methodologies. - Familiarity with logistics processes and supply chain optimization. - Knowledge of industry standards and compliance requirements in freight forwarding (a plus). This is a full-time position based in New Delhi, India, where you will join the team in driving innovation and technological adoption within the organization to maintain a competitive advantage and continuous improvement in operational processes.,