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Open nowPosted 5 days ago

AI Scientist

MyCareersFuture94,028 open roles

Pay
SGD 9,000 – SGD 15,000 a month
Where
Central, Singapore
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Your applicationOpen nowAI ScientistMyCareersFuture · Central, Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on MyCareersFuture's own form.

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The clock on this job

Early applications get read.

7.7% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.3%3 days
  3. 7.7%7 days
  4. 14.0%14 days
  5. 33.7%30 days
This job: posted 5 days ago

The posting

Key Responsibilities (Job Scope)

1. 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).

2. 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.

3. 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.
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