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Junior Project Manager (AI/ ML) - Asian market

TSMG Holding

Role overview

Qualifications

  • 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 (machine learning, NLP, automation) and their practical applications
  • Proficiency with project management tools (e.g., Jira, Asana, Trello, MS Project)

Responsibilities

  • Lead end-to-end project management for technology and AI initiatives, including planning, execution, monitoring, and delivery, ensuring on-time and in-scope results aligned with business and technical requirements
  • Define project scope, objectives, deliverables, and timelines in collaboration with stakeholders, and manage risks, dependencies, and performance metrics
  • Coordinate cross-functional teams (engineering, data science, product, operations) and communicate progress to stakeholders and senior leadership
  • Ensure compliance with ethical, data privacy, and security standards; support adoption and integration of AI tools; stay updated on AI trends to inform project planning

Key facts

Hard skills

Other skills

  • Timelines
  • Progress Reporting
  • Leadership
  • Communication
  • Collaboration
  • Problem Solving

About the company

TSMG Holding logo

TSMG Holding

  • AI & Machine Learning
  • Scaleup
  • 51–200
TSMG is your expert data collection partner with a presence across Europe and North America. Our mission is to empower tech companies with seamless data collection, fueled by our relentless pursuit of excellence. • We handle complex data collecting projects. • Our team supports Fortune 500 companies with all aspects of data collecting projects – from recruiting to logistics and beyond. • We gather vast volumes of relevant, accurate, and diverse datasets to fuel the intelligence of your AI systems. • We find and manage powerhouse teams and give them the tools to get things done. Give us the low-down on your project and we'll craft a seamless solution together.
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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 (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.
    •

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