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.
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.
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?
Work with a globally distributed, research- forward DeepTech client.
Support and mentorship from INNOMIZE technical leads throughout the engagement.
Access to TRG&039;s interdisciplinary team of domain experts, researchers, and legal engineers.
Opportunity to build inventive systems, not just maintain them.
WHAT YOU’LL BE DOING
Fine- tune or adapt open- source LLMs (e.g., LLaMA, Mistral, Qwen) for domain- specific tasks.
Develop intelligent pipelines for document understanding, retrieval, and reasoning.
Support infrastructure, deployment, and MLOps where needed.
Integrate symbolic search techniques (e.g., BM25, SPLADE) and multimodal processing tools (e.g., TrOCR, SimCLR).
Develop data pipelines for structured/unstructured data ingestion, tagging, indexing.
Rapidly design and prototype GenAI workflows using LLMs, prompt chaining, and agentic frameworks.
Stay updated with the latest GenAI/LLM innovations and contribute to internal best practices.
Collaborate with non- engineers (product, legal, academic, compliance) to define goals and refine direction.
Present working PoCs that demonstrate performance, alignment, or reasoning traceability.
Work with OCR/vision/NLP models to handle multimodal inputs.
Portray the underlying mathematics and principles of AI/ML to peers and lay persons. Transfer knowledge of understanding of AI/ML to peers and lay persons.
Must- Have
WHAT WE&039; RE LOOKING FOR
Comfortable producing “minimum viable clarity” rather than a minimum viable product.
Strong understanding of information retrieval, knowledge graphs, and/or explainable search.
Strong analytical thinking, with clear and concise communication in English.
Proficiency with Python and frameworks like LangChain, LlamaIndex, HuggingFace Transformers.
Bachelor&039;s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related fields.
Solid experience in prompt engineering and evaluating LLM- based systems.
2+ years of experience in building GenAI or AI/ML applications.
Inquisitive and conscientiously investigating the latest techniques and tools.
Deeply curious about how humans evaluate answers, form arguments, or assess evidence.
A fast- thinking engineer who builds to learn.
Enthusiastic about working with LLMs without treating them as omniscient.
Nice- to- Have
Knowledge of data privacy and security principles related to AI and machine learning.
Familiarity with building REST APIs, containerized services (Docker), and cloud platforms (AWS/GCP/Azure).
Prior work on assessment systems, feedback generation, or AI in education/compliance domains.
Experience in building or evaluating explainable AI systems.
Familiarity with MLOps tools (MLflow, Airflow, W&B) and Kubernetes.
Experience with OCR, multimodal data processing, and AI safety principles.
WORKING WITH US
Our Company believes that the motivation & personality of the employees are the only shortcut to promoting the corporation and contributions to society. We will try our best to create a corporate environment where all employees can realize their dreams and goals. Featured benefits include:
Special bonus on Public holidays: 1/1, 30/4&1/5, 2/9, Hung Kings&039; (10/3).
Modern and cozy kitchens with plenty of free noodles, coffee/tea bars, and fresh fruits every day.
Annual performance appraisal (twice / year) and 13- month salary.
Excellent Benefits: Project bonus, Team bonus, Birthday gift, Tet gift ...
Dynamic and comfortable working environment.
Have opportunities to be promoted to Senior and Leader level, and be supported daily by Manager, Leader, and Senior Level.
Overtime is rarely required, you will get paid for the extra work (up to 300%).
Exciting internal events: Happy hour, Company trips, Year- end Party, Team building, Sports Clubs.
Upto 16- day and 2- day probation leave per year.
Health Insurance package (PVI).
Training activities weekly: English, Management, Soft Skills, Technical skills, Certificate fee.
Work- life balance 40 hours per week from Mon to Fri.
