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.