Junior Project Manager (AI/ ML) - Asian market

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 (engineering, data science, product, operations) 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. Originally posted on Himalayas