Junior Project Manager (AI/ ML) - Asian market

Job description

We are looking for an experienced Project Manager to lead technology-driven and AI-focused projects. The role requires strong project management skills, technical understanding of AI solutions, and the ability to collaborate across cross-functional teams. The Project Manager will be responsible for ensuring projects are delivered on time, within scope, and aligned with business and technical requirements. ### Primary Responsibilities - Lead end-to-end project management for technology and AI initiatives, including planning, execution, monitoring, and delivery. - Define project scope, objectives, deliverables, and timelines in collaboration with stakeholders. - Coordinate cross-functional teams to ensure smooth execution. - Monitor risks, dependencies, and performance metrics, providing solutions to keep projects on track. - Communicate progress, challenges, and results clearly to stakeholders and senior leadership. - Ensure compliance with ethical, data privacy, and security standards in AI and tech projects. - Support adoption and integration of AI tools into existing processes and workflows. - Stay updated on emerging technologies and AI trends to provide strategic input for project planning. ### Requirements - Bachelor’s or Master’s degree in Computer Science, Engineering, Business, or related field. - 3–5 years of experience in project management within technology, software, or AI-related projects. - Strong understanding of AI concepts (e.g., machine learning, NLP, automation) and their practical applications. - Proven track record of delivering complex technical projects on time and within budget. - Proficiency with project management tools (e.g., Jira, Asana, Trello, MS Project). - Excellent leadership, communication, and stakeholder management skills. ### Preferred Qualifications - Hands-on experience with AI/ML tools, data pipelines, or cloud platforms (AWS, Azure, GCP). - Experience working in agile environments and familiarity with DevOps practices. - Ability to translate technical concepts into clear business value for non-technical stakeholders.