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 aimed at business problems
- Connect AI solutions with current systems by working across teams
- Review AI and machine learning developments, then tune models for accuracy, speed and scale
- Use large datasets to produce insights, and document models, processes and workflows
- Take part in code reviews, testing and debugging while supporting the AI engineering team
What you bring
- A degree in computer science, AI, machine learning or a related discipline
- Professional model-development experience is useful, though relevant work or internship experience can qualify recent graduates
- You can program in Python or Java and have used TensorFlow, PyTorch or Scikit-learn
- You understand data structures, algorithms and software engineering, and can work with large datasets and preprocessing
Who this fits
This role suits an AI engineer who can develop and deploy models, work with large datasets and explain technical ideas to non-technical colleagues. The listing describes Singapore as the location and offers hybrid or remote options. Mandarin may help when communicating with clients in China.
From the employer
AI Engineer
AI Engineering Team | Singapore (Hybrid / Remote options) | Full-time
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.
- Ideally 3 years of experience developing and deploying AI and machine learning models in a professional setting; fresh graduates with relevant work or internship experience are also welcome to apply.
- Strong programming skills in Python or Java, with experience in frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Familiarity with LLMs, AI Agents, Multi-Model Orchestration, and Application Engineering.
- 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.
Nice to Have
- Mandarin proficiency is a plus, as the role may involve communicating with clients in China.
Job Benefits
- Competitive salary and performance-based bonuses.
- Professional development opportunities, including training programs and certifications.
- Comprehensive health, dental, and vision insurance plans.
- Access to cutting-edge tools and technologies to support your work.
- Flexible work hours and remote work options.
- Collaborative and inclusive company culture that values innovation and creativity.
- Generous paid time off, including vacation, sick leave, and holidays.
- Employee wellness programs and team-building activities.
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AI Engineering
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