We are currently looking for a passionate and skilled AI/ML Engineer to join our team for an exciting engagement with one of our clients – TRG, a DeepTech company building high-trust AI platforms for education, compliance, and knowledge-centric domains.
Our project will work with teams across Singapore, India, and the UK. They specialize in building infrastructure for interpretable, precise, and domain-aligned AI, focusing on advanced retrieval systems, knowledge grounding, agentic reasoning, and explainability in LLM environments.
This role offers a unique opportunity to work on cutting-edge research and rapid prototyping of AI systems that go beyond generic tooling, delivering real impact in sensitive and high-stakes domains.
WHY JOIN THIS PROJECT?
- Opportunity to build inventive systems, not just maintain them.
- Work with a globally distributed, research-forward DeepTech client.
- Access to TRG's interdisciplinary team of domain experts, researchers, and legal engineers.
- Support and mentorship from INNOMIZE technical leads throughout the engagement.
WHAT YOU’LL BE DOING
- Design and prototype GenAI workflows using LLMs, prompt chaining, and agentic frameworks.
- Develop intelligent pipelines for document understanding, retrieval, and reasoning.
- Integrate symbolic search techniques (e.g., BM25, SPLADE) and multimodal processing tools (e.g., TrOCR, SimCLR).
- Fine-tune or adapt open-source LLMs (e.g., LLaMA, Mistral, Qwen) for domain-specific tasks.
- Build microservices or notebooks demonstrating PoCs with performance and explainability in mind.
- Develop data pipelines for structured/unstructured data ingestion, tagging, indexing.
- Work closely with non-technical stakeholders to define and refine AI objectives.
- Stay updated with the latest GenAI/LLM innovations and contribute to internal best practices.
- Support infrastructure, deployment, and MLOps where needed.
WHAT WE’RE LOOKING FOR
Must-Have
- Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related fields.
- 2+ years of experience in building GenAI or AI/ML applications.
- Proficiency with Python and frameworks like LangChain, LlamaIndex, HuggingFace Transformers.
- Solid experience in prompt engineering and evaluating LLM-based systems.
- Strong understanding of information retrieval, knowledge graphs, and/or explainable search.
- Ability to work independently with fast iteration and experimentation.
- Strong analytical thinking, with clear and concise communication in English.
Nice-to-Have
- Experience in building or evaluating explainable AI systems.
- Exposure to symbolic reasoning, taxonomy design, or educational/compliance domains.
- Experience with OCR, multimodal data processing, and AI safety principles.
- Familiarity with MLOps tools (MLflow, Airflow, W&B) and Kubernetes.
- Familiarity with building REST APIs, containerized services (Docker), and cloud platforms (AWS/GCP/Azure).
- Knowledge of data privacy and security principles related to AI and machine learning.
Our Company believes that the motivation & personality of the employees are the only shortcut to the promotion of the corporation and contributions to the society. We will try our best to create a corporate environment where all employees can realize their dreams and goals. Featured benefits include:
- Dynamic and comfortable working environment.
- Work-life balance 40-hr per week from Mon to Fri.
- Overtime is rarely required, you will get paid for the extra work (up to 300%).
- Up to 16-day and 2-day probation leave per year.
- Annual performance appraisal (twice / year) and 13-month salary.
- Annual health check and Health Insurance package (PVI).
- Special bonus on Public holiday: 1/1, 30/4&1/5, 2/9, Hung Kings' (10/3).
- Excellent Benefits: Project bonus, Team bonus, Birthday gift, Tet gift ...
- Exciting internal events: Happy hour, Company trips, Year-end Party, Teambuilding, Sport Clubs.
- Modern and cozy kitchens with plenty of free noodles, coffee/tea bar and fresh fruits every day.
- Training activities weekly: English, Management, Soft Skills, Technical skill, Certificate fee.
- Have opportunities to promote to Senior and Leader level, be supported daily by Manager, Leader and Senior Level.