Machine Learning Engineer

We are seeking an experienced Machine Learning Engineer to join a global technology-driven organization, contributing to the delivery of advanced AI and ML solutions. This role will focus on building scalable systems and innovative applications that enhance digital experiences across diverse platforms. The ideal candidate will bring strong technical expertise, creativity, and the ability to thrive in a fast-paced environment.

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.

Qualifications:

• 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.

We regret to inform that only shortlisted candidates will be notified.

EA Registration No: 10C4544, Lim Jing Kai, Russell

Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA License No. 10C4544