F
FukuSingapore, Singapore
AI engineer
New · posted 16h agoML & AI Engineer
At a glance
- Posted
- 28 October 2026
- Workplace
- Remote
- Type
- Full-time
- Country
- Singapore
- Skills named
- aws, azure, fine tuning, gcp, machine learning, python, pytorch, r
- Application form
- Workable
Read from the posting by Shortlist. Pip fills this Workable form from your profile and shows you every answer before anything is sent — most take under two minutes.
About the company:
YY Force is a cutting-edge technology company specializing in innovative solutions powered by artificial intelligence and machine learning. Our mission is to revolutionize industries by delivering state-of-the-art AI-driven products and services. At YY Force, we foster a collaborative and inclusive work environment where creativity, growth, and innovation thrive.
- Job responsibilities:
- - Design, develop, and deploy AI models and algorithms to solve complex business problems.
- - Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
- - Conduct research to stay updated on the latest advancements in AI and machine learning technologies.
- - Optimize and fine-tune AI models for performance, scalability, and accuracy.
- - Analyze large datasets to extract meaningful insights and drive data-driven decision-making.
- - Develop and maintain documentation for AI models, processes, and workflows.
- - Participate in code reviews, testing, and debugging to ensure high-quality deliverables.
- - contribute to the overall growth of the AI engineering team.
- Job requirements:
- - Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- - Proven experience in developing and deploying AI and machine learning models in a professional setting.
- - Strong programming skills in Python, R, or similar languages, with experience in frameworks like TensorFlow, PyTorch, or Scikit-learn.
- - Solid understanding of data structures, algorithms, and software engineering principles.
- - Experience with cloud platforms such as AWS, Azure, or Google Cloud for AI model deployment.
- - Proficiency in working with large datasets and data preprocessing techniques.
- - Excellent problem-solving skills and the ability to work independently or as part of a team.
- - Strong communication skills to effectively convey technical concepts to non-technical stakeholders.
- Job benefits:
- - Competitive salary and performance-based bonuses.
- - Comprehensive health, dental, and vision insurance plans.
- - Flexible work hours and remote work options.
- - Generous paid time off, including vacation, sick leave, and holidays.
- - Professional development opportunities, including training programs and certifications.
- - Access to cutting-edge tools and technologies to support your work.
- - Collaborative and inclusive company culture that values innovation and creativity.
- - Employee wellness programs and team-building activities.