ML Engineer- 4k - Contract- No visa sponsorship

Kuala Lumpur
$3,000.00 - $4,000.00 Monthly
Default

Sector: 

Technology

Function:

Technology

Contact Name:

Anh Nguyen

Expiry Date:

03-Jun-2026

Job Ref:

JN -052026-493540

Date Published:

04-May-2026

Key responsibilities

  • Build and integrate generative AI applications for customer interactions using LLMs and orchestration frameworks
  • Drive the design, development, and scaling of internal AI agents and customer-facing agentic solutions (e.g. GenAI-powered contact centers)
  • Design and deploy solutions on AWS Bedrock using foundation models from leading providers
  • Fine-tune and evaluate large language models using proprietary and external datasets
  • Build scalable APIs and backend services to support real-time AI inference
  • Ensure reliability, privacy, and accuracy of GenAI outputs through testing and monitoring
  • Contribute to AI governance by ensuring solutions follow responsible AI principles (e.g. transparency, data privacy, compliance)
  • Collaborate with data science teams to apply GenAI across business use cases (e.g. document processing, claims decisioning, reporting)
  • Support bolttech’s global GenAI roadmap by providing technical expertise and recommendations
  • Document solutions and collaborate with engineering, product, and business teams to align requirements
  • Stay up to date with industry trends and recommend tools or approaches to enhance system performance

What we’re looking for

  • 6+ years of experience in AI/ML, including 3+ years in machine learning engineering, NLP, Generative AI, or LLM-related work
  • Hands-on experience with LLM agentic frameworks (e.g. LangChain, LangGraph, LlamaIndex)
  • Strong understanding of transformer architectures, prompt engineering, RAG, guardrails, and LLM evaluation methods
  • Experience with MLOps and/or LLMOps practices
  • Proficiency in Python and experience with ML frameworks (e.g. PyTorch, scikit-learn)
  • Experience with cloud platforms (preferably AWS)

Nice to have

  • Experience designing and managing distributed training pipelines for LLMs
  • Experience with voice/conversational AI solutions
  • Strong ability to work both independently and collaboratively
  • Excellent analytical, problem-solving, and communication skills, with the ability to explain complex concepts to non-technical stakeholders

Argyll Scott Asia is acting as an Employment Business in relation to this vacancy.

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