Machine Learning Engineer

15 hours ago

Kuala Lumpur, Kuala Lumpur, Malaysia Glints Full time

We are seeking a
Machine Learning Engineer
to design, finetune, and implement AI models that power compliance intelligence for our RegTech Client in South East Asia. This is a
hands-on role
where your work will directly impact how compliance officers, senior management, and staff manage their regulatory obligations.

Key Responsibilities

  • Model Development
  • Design, train, and deploy ML models for NLP, semantic search, information extraction, document classification, and risk scoring.
  • Develop solutions for OCR and structured data extraction from regulatory texts and compliance documents.
  • AI-Powered Compliance Assistance
  • Build and optimize LLM-powered Q&A systems to provide accurate, context-aware regulatory guidance.
  • Integrate RAG pipelines with regulatory datasets.
  • Data Engineering & Pipelines
  • Develop data ingestion and preprocessing pipelines for regulatory documents, customer policies, and compliance workflows.
  • Implement scalable APIs and ML services within the architecture.
  • Collaboration
  • Work closely with product and compliance teams to translate regulatory requirements into ML features.
  • Partner with software engineers to integrate models into production systems.
  • Optimization & Monitoring
  • Monitor model performance, retrain and fine-tune as needed.
  • Ensure explainability, transparency, and responsible AI practices in compliance-sensitive use cases.

Requirements

  • Education/Experience:
    Bachelor's or Master's in Computer Science, Machine Learning, AI, or related field; 3+ years of experience in applied ML/AI engineering.
  • Technical Skills:
  • Experience with building
    RAG pipelines
    , LLM fine-tuning, or prompt engineering.
  • Strong in
    Python
    , ML frameworks (TensorFlow, PyTorch, LangChain).
  • Experience with
    NLP
    (transformers, embeddings, semantic search, information extraction).
  • Familiarity with
    OCR
    , entity recognition, and knowledge graph construction a plus.
  • Good knowledge of APIs, cloud deployment (Azure/AWS/GCP), and MLOps practices.
  • Nice-to-Have:
  • Experience working with
    financial regulations, compliance, or RegTech
    datasets.
  • Exposure to secure, enterprise SaaS environments.
  • Mindset:
    Problem-solver, detail-oriented, collaborative, and excited to work in a high-growth startup environment.

Notes: We don't provide a visa sponsorship, and this is for a local/ PR Malaysian

Click apply or send your resume to with Subject: AI/ML Engineer

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