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- Lead, design, and implement machine learning projects to ensure timely and high-quality deliverables.
- Collaborate with cross-functional teams to align solutions with business objectives and user needs
- Support the deployment of ML models, workflows, and applications into production environments
Key Responsibilities
- Lead, design, and implement machine learning projects to ensure timely and high-quality deliverables.
- Collaborate with cross-functional teams to align solutions with business objectives and user needs.
- Support the deployment of ML models, workflows, and applications into production environments.
- Assess requirements, dependencies, and constraints while working with subject matter experts across technology domains.
- Maintain strong relationships with stakeholders, partners, and internal teams.
- Contribute to project documentation, reporting, and regular status updates.
- Identify resources needed and coordinate roles and responsibilities across engineering and research teams.
- Facilitate meetings and discussions with stakeholders, producing clear updates and action items.
- Provide support for occasional off-hours or weekend deployments when required.
- Proven experience in managing or supporting large-scale AI/ML projects.
- Strong programming skills, particularly in Python, with hands-on experience in ML techniques and applications.
- Experience deploying ML solutions into production environments.
- Ability to communicate effectively with senior stakeholders and technical teams.
- Familiarity with projects involving large-scale data, content intelligence, or global user experiences is highly valued.
EA Registration No: 10C4544, Lim Jing Kai, Russell
Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA License No. 10C4544
Key Skills
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