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 [Confidential Information] with Subject: AI/ML Engineer
