AI Engineer--Conversational AI
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
- Connect AI tools with existing systems by working across teams
- Tune models for stronger accuracy, speed and ability to scale
- Study large datasets, document model workflows, and share findings for better decisions
- Review code, test and debug deliverables while helping the AI engineering team grow
What you bring
- A degree in computer science, AI, machine learning or a related discipline
- Professional model-building experience is welcome, though relevant work or internship experience can qualify new graduates
- You can program in Python or Java and have used TensorFlow, PyTorch or Scikit-learn
- You understand LLMs, AI agents, multi-model orchestration and application engineering
Who this fits
This role suits someone who can work independently and collaborate with others, while explaining technical ideas to non-technical stakeholders. The posting lists Singapore and offers hybrid or remote options. Mandarin is a plus for possible client communication 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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