AI/ML Project Lead — Data Scientist, End-to-End

Zohorecruit; Singapore; On-site; SGD 60,000 - 78,000; Full time

Job summary

Zohorecruit is seeking a Data Scientist – AI/ML Project Delivery in Singapore. The role focuses on managing end-to-end AI/ML projects, engaging stakeholders, and translating requirements into actionable plans.

You will collaborate with cross-functional teams, track milestones, and oversee production handover while maintaining thorough documentation and clear communication with both technical and non-technical stakeholders.

Qualifications

• Bachelor's degree in CS, DS, Engineering, Math, or related STEM field.
• 3+ years of experience in DS/AI project delivery or related roles.
• Experience managing AI/ML or data-driven projects from requirements through deployment.
• Familiarity with Agile/Scrum methodologies.
• Experience with AWS, Azure, or GCP.

Responsibilities

• Manage end-to-end Data Science and AI/ML projects from planning through testing, deployment, and handover.
• Engage stakeholders to understand requirements, challenges, and outcomes.
• Translate business needs into project scope, deliverables, tasks, and success criteria.
• Collaborate with Data Scientists, Engineers, Developers, and Technical Leads to deliver AI/ML solutions.
• Track timelines, milestones, risks, issues, and dependencies.
• Coordinate user testing, production readiness, deployment, and handover.
• Present progress and technical findings to technical and non-technical stakeholders.
• Maintain project documentation, approvals, and sign-offs.

Skills

Stakeholder management

Agile/Scrum

Communication

Problem solving

Team collaboration

Education

Bachelor’s degree in STEM

Tools

AWS

Azure

GCP

Job description

Zohorecruit is seeking a Data Scientist – AI/ML Project Delivery in Singapore. The role focuses on managing end-to-end AI/ML projects, engaging stakeholders, and translating requirements into actionable plans.

You will collaborate with cross-functional teams, track milestones, and oversee production handover while maintaining thorough documentation and clear communication with both technical and non-technical stakeholders.