AI Scientist
Key Responsibilities (Job Scope)
- AI Model Research & Development
Design, build, train, and evaluate end-to-end Machine Learning, Deep Learning, and Generative AI models.
Translate complex business requirements into viable machine learning and statistical modeling tasks.
Benchmark, optimize, and fine-tune open-source and proprietary models (e.g., LLMs, Computer Vision, NLP frameworks).
- Cloud AI & MLOps Infrastructure (Huawei Cloud Focus)
Architect, configure, and maintain scalable cloud AI infrastructure with specialized expertise in Huawei Cloud AI/ML services (e.g., ModelArts, Cloud Container Engine).
Establish automated MLOps pipelines for model deployment, monitoring, CI/CD, and retraining in production environments across hybrid or cloud setups.
Ensure data pipelines, feature stores, and high-performance model inference workflows operate efficiently with minimal latency.
- Cross-Border Collaboration & Technical Communication
Serve as the technical bridge between local business/product teams and technical teams in China, conducting frequent technical exchanges and project alignment.
Translate architectural designs, model requirements, and project specifications seamlessly across cross-border engineering teams.
4. Data Engineering & Governance Collaborate with data engineering teams to preprocess, clean, and structure high-volume, structured/unstructured datasets.
Implement data privacy, security, and governance standards aligned with Singapore’s PDPA, cross-border data transfer regulations, and ethical AI practices.
Job Requirements Education & Experience Bachelor's, Master’s, or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Applied Mathematics, or a related quantitative discipline.
Proven track record (3+ years) in building, deploying, and maintaining production-grade machine learning and AI systems.
Practical experience managing and orchestrating cloud environments with hands-on setup in Huawei Cloud infrastructure .
Technical Skills & Qualifications Cloud & MLOps: In-depth knowledge of Huawei Cloud architecture and AI ecosystem (ModelArts, Ascend AI tooling, CCE/Kubernetes, OBS storage). Familiarity with other cloud platforms (AWS, GCP, Azure) is a plus.
Programming Languages: Advanced proficiency in Python, with working knowledge of C++, Scala, or R.
AI/ML Frameworks: Strong experience with PyTorch, TensorFlow, MindSpore, Scikit-Learn, Hugging Face, or LangChain.
Data Engineering & Querying: Hands-on experience with SQL, Apache Spark, feature stores, and vector databases (e.g., Pinecone, Milvus, Qdrant).
Generative AI & LLMs: Understanding of fine-tuning techniques (LoRA, QLoRA), Retrieval-Augmented Generation (RAG), and prompt engineering.
Language & Soft Skills Mandarin Proficiency: Professional fluency in Mandarin (written and spoken) to communicate technical requirements, lead design discussions, and collaborate seamlessly with R&D and engineering teams in China.
Cross-Cultural Teamwork: Excellent interpersonal and stakeholder management skills to work across diverse technical backgrounds and time zones.
Problem-Solving: Strong analytical, mathematical, and proactive problem-solving mindset to adapt to evolving AI technology stacks.