Responsibility
- Develop data pipeline to process and analyse large amounts of information and prepare training datasets
- Build predictive models and machine-learning algorithms, discover trends and patterns
- Develop and implement generative AI models to address real-world challenges across various domains, including natural language processing, image, video and voice generation
- Conduct research on emerging generative AI techniques and algorithms
- Collaborate with cross-functional teams to design and deploy AI solutions
Requirement
- Experience in ML modeling techniques, supervised/unsupervised learning, deep learning frameworks, and generative AI, and NLP
- Experience with prompt engineering, prompt optimization, and multimodal generative AI
- Strong programming skills in Python and Unix/PowerShell scripting
- Experience with cloud computing platforms AI technologies such as AWS, GCP or Azure
- Experience in using LLMs such as Hugging Face ML models, GPT, Claude, etc
- Stay updated with the latest advancements in AI Technologies
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Crypto.com Singapore Office
Singapore
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What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
