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SA/AVP, AI Engineer,Technology Data Chapter, Data Platform, Group Technology

Job Description - SA/AVP, AI Engineer,Technology Data Chapter, Data Platform, Group Technology

The AI Engineer will be responsible for developing and implementing AI/ML/generative AI models for use in a variety of applications. The ideal candidate will have a strong background in machine learning, natural language processing, and software engineering. 

  

Responsibilities: 

  • Implement generative AI models for use in a variety of applications, and problem solving. 
  • Fine tuning LLMs on text,codes(LORA, PEFT). 
  • Creating applications/solutions using RAG framework.  
  • Creating pipelines to create data indexes, data augmentation, retrieval from LLMs using langchain and llama-index. 
  • Creation of Knowledge Bases, storing embeddings into vector databases. 
  • Evaluate LLM performances on Hallucination rates. 
  • Build and advise teams on creating the guardrails for different use cases/applications. 
  • Stay up-to-date on the latest advances in generative AI. 

  

 Requirements: 

  • Masters/graduate in computer science, machine learning, data analytics. 
  • Strong background in machine learning, natural language processing, and software engineering (4-7 years of experience). 
  • Hands on experience on prompt engineering with different LLM models. 
  • Hands on experience on using langchain and llama-index. 
  • Developed and deployed different problem/business solutions using data science. 
  • Comfortable in coding in Python and/or Java 
  • A highly motivated team player with a strong desire to learn and excel. 
  • Ready to work in a fast-paced environment, taking challenges as opportunities. 
  • Used to frequent Organizational change. 
  • Ready to learn from the team also comfortable in sharing knowledge within the team. 
  • Excellent Communication 

 

 

Benefits: 

  • Competitive salary and benefits 
  • Chance to make a real impact on the field of generative AI 

Location:

DBS Asia Hub

Job:

Technology

Schedule:

Regular

Employee Status:

Full time
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