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Data Engineer-Python ,SQL,LLM,NLP

Exclusive opportunity

Onsite

Data Engineer-Python ,SQL,LLM,NLP

RAPSYS TECHNOLOGIES PTE LTD

Data Engineer-Python ,SQL,LLM,NLP

Skills

SQL QueriesPythonData ScienceMachine LearningAIAWSNLP / Natural Language ProcessingComplianceAzure

3 months ago

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Important information


Contract type:

Permanent

Location:

Singapore

Work mode:

Onsite

Published on:

7 August 2026

What they need


🌟 We're Hiring: Data Engineer! 🌟

We are looking for a skilled and detail-oriented Data Engineer to join our dynamic team in Singapore. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines that support our data-driven decision-making processes.

📍 Location: Singapore, Singapore

⏰ Work Mode: Work from Office

💼 Role: Data Engineer

What You'll Do:

Core skills

  • Python
  • SQL
  • Machine learning
  • Data science and statistical analysis
  • Experiment design and evaluation methodologies
  • NLP (Natural Language Processing)
  • Generative AI and large language models (LLMs)
  • Embeddings and vector databases
  • Prompt engineering
  • Information retrieval and search technologies
  • Error analysis and model validation
  • Git and software development practices

Preferred skills

  • Azure OpenAI, AWS Bedrock or Google Vertex AI
  • MLOps and model monitoring
  • Cloud-native AI services
  • Responsible AI frameworks
  • Multilingual NLP
  • Translation evaluation
  • Experience working with public-sector organisations

Responsibilities

  • Develop and maintain evaluation frameworks for NLP and GenAI use cases.
  • Design experiments to improve model quality, accuracy, reliability, latency and cost.
  • Perform error analysis and identify opportunities for optimisation.
  • Collaborate with product owners, engineers and business stakeholders.
  • Deploy, monitor and continuously improve AI-enabled solutions.
  • Ensure compliance with security, privacy and responsible AI requirements.

Experience requirements

  • Preferred experience: 5–8 years
  • Candidates with strong AI, NLP and GenAI experience will be prioritised.
  • Production deployment experience is highly desirable.

Ready to make an impact? 🚀 Apply now and let's grow together!

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