- Singapore
全职 AI Technical Delivery Manager 工作, 薪水 up to SGD 15,000, PRAMAHAA PTE. LTD. 公司招聘中 - Ricebowl
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职位描述
岗位职责
Role purpose:
Lead end-to-end delivery of AI/ML and Generative AI solutions by coordinating business stakeholders, data teams, AI engineers, developers, vendors, and operations teams.
Key responsibilities:
Own the
end-to-end delivery
of AI projects from requirements through production.
Translate business problems into clear
AI use cases, requirements, and delivery plans
.
Manage project scope, timelines, budget, resources, risks, dependencies, and quality.
Coordinate
data scientists, ML engineers, software engineers, data engineers, architects, and business teams
.
Manage delivery of
GenAI, LLM, machine-learning, automation, and AI-agent solutions
.
Establish project milestones, KPIs, acceptance criteria, and success metrics.
Ensure AI solutions are properly
tested, validated, secured, and production-ready
.
Work with architecture, cybersecurity, legal, risk, and compliance teams on
responsible AI and governance
.
Manage vendors and third-party AI/cloud technology providers where applicable.
Oversee deployment, monitoring, model performance, incident management, and continuous improvement.
Drive
user adoption and change management
after implementation.
Provide regular status reports and communicate risks, issues, and decisions to senior management.
Identify opportunities to scale successful AI solutions across the organization.
Typical qualifications
Bachelor's degree in
Computer Science, Information Technology, Engineering, Business, or a related field
.
Experience managing
technology, data, AI/ML, or digital-transformation projects
.
Understanding of: Machine learning and AI lifecycleGenerative AI and LLMsCloud platformsData engineering and analyticsAPIs and software developmentMLOps/LLMOpsAI governance and security
Strong
project/program management
skills.
Excellent stakeholder and communication skills.
Experience with Agile/Scrum, Jira, Confluence, or similar delivery tools is often useful.
Certifications such as
PMP, PRINCE2, Scrum/Agile, or cloud certifications
can be advantageous.
Lead end-to-end delivery of AI/ML and Generative AI solutions by coordinating business stakeholders, data teams, AI engineers, developers, vendors, and operations teams.
Key responsibilities:
Own the
end-to-end delivery
of AI projects from requirements through production.
Translate business problems into clear
AI use cases, requirements, and delivery plans
.
Manage project scope, timelines, budget, resources, risks, dependencies, and quality.
Coordinate
data scientists, ML engineers, software engineers, data engineers, architects, and business teams
.
Manage delivery of
GenAI, LLM, machine-learning, automation, and AI-agent solutions
.
Establish project milestones, KPIs, acceptance criteria, and success metrics.
Ensure AI solutions are properly
tested, validated, secured, and production-ready
.
Work with architecture, cybersecurity, legal, risk, and compliance teams on
responsible AI and governance
.
Manage vendors and third-party AI/cloud technology providers where applicable.
Oversee deployment, monitoring, model performance, incident management, and continuous improvement.
Drive
user adoption and change management
after implementation.
Provide regular status reports and communicate risks, issues, and decisions to senior management.
Identify opportunities to scale successful AI solutions across the organization.
Typical qualifications
Bachelor's degree in
Computer Science, Information Technology, Engineering, Business, or a related field
.
Experience managing
technology, data, AI/ML, or digital-transformation projects
.
Understanding of: Machine learning and AI lifecycleGenerative AI and LLMsCloud platformsData engineering and analyticsAPIs and software developmentMLOps/LLMOpsAI governance and security
Strong
project/program management
skills.
Excellent stakeholder and communication skills.
Experience with Agile/Scrum, Jira, Confluence, or similar delivery tools is often useful.
Certifications such as
PMP, PRINCE2, Scrum/Agile, or cloud certifications
can be advantageous.
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