AI engineer
At a glance
Mid-level AI Engineering role at Fuku. Singapore · full-time.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and launch AI models and algorithms to address business problems
- Work with other teams to connect AI systems to existing software and workflows
- Tune models for accuracy, speed and scale, and examine large datasets for useful insights
- Document models and processes, then review code and help test and debug deliverables
What you bring
- A degree in computer science, AI, machine learning or a related subject
- Professional experience creating and deploying AI or machine-learning models
- Programming ability in Python, R or a similar language, plus experience with a listed ML framework
- Knowledge of data structures, algorithms and software engineering, with experience preparing large datasets
Who this fits
This mid-level role is based on-site in Singapore. It suits someone who can develop AI models and collaborate with teammates, while also working independently.
From the employer
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.
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AI Engineering
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