Junior AI / Machine Learning Engineer

Qore3; Singapore; Sur place; SGD 52 000 - 82 000; Plein temps

Résumé du poste

Qore3 in Singapore is seeking a Junior AI / Machine Learning Engineer fresh from university. You will work with senior AI engineers to build, test, and improve AI-powered features, including LLM-based assistants and RAG systems.

The role emphasizes learning, curiosity, and rapid skill growth as you contribute to model development and feature integration. You will develop models, prepare data, and assist with evaluation, monitoring, and tooling.

Qualifications

• Bachelor's or master's degree in CS/DS/AI or related field.
• Strong Python fundamentals and ML basics (supervised/unsupervised learning, model evaluation).
• Exposure to ML/DL libraries (PyTorch, TensorFlow, scikit-learn).
• Familiarity with Pandas and NumPy; Git experience.

Responsabilités

• Support model development, training, and evaluation under senior engineers.
• Design tests and prompts for LLM/AI features and integration into products.
• Prepare data: labeling, cleaning, and analysis for model training.
• Build APIs/services to connect models to product features.
• Monitor model performance, latency, and cost in production.
• Contribute to internal tools, notebooks, and automation.
• Document experiments and results for reproducibility.

Connaissances

Python

ML fundamentals

Pandas/Numpy

Git

Problem solving

Communication

Blockchain

Formation

Bachelor's or Master's in CS/DS/AI

Outils

PyTorch

TensorFlow

scikit-learn

Description du poste

# Junior AI / Machine Learning EngineerFull-time (Singapore)Apply## The roleWe are looking for a Junior AI / Machine Learning Engineer to join our team straight out of university. In this role, you will work with senior AI engineers and data scientists to build, integrate, and improve AI-powered features in our products — from LLM-based assistants and retrieval-augmented generation (RAG) systems to classical ML models. This is a learning-focused role: we care more about your fundamentals, curiosity, and ability to learn quickly than about prior industry experience.## What you'll do* Model Development & Experimentation: Support the development, training, and evaluation of machine learning models under the guidance of senior engineers.* LLM & Prompt Engineering: Help design, test, and iterate on prompts and pipelines for large language model use cases such as chatbots, summarisation, and classification.* AI Feature Integration: Integrate AI capabilities into applications by building APIs, services, and workflows that connect models to product features.* Data Preparation: Clean, label, and analyse datasets to support model training, evaluation, and ongoing quality improvements.* Evaluation & Monitoring: Help build evaluation harnesses, run benchmarks, and monitor production AI features for accuracy, latency, and cost.* Tooling & Automation: Contribute to internal tools, notebooks, and scripts that speed up experimentation and model iteration.* Documentation: Document experiments, model behaviours, and integration steps so findings can be reproduced and shared.* Continuous Learning: Keep up with new models, papers, and frameworks; share learnings with the team through internal demos and discussions.## What we're looking for* A bachelor's or master's degree in Computer Science, Data Science, AI/Machine Learning, Statistics, or a related field (recent graduate or graduating within the next 6 months).* Strong programming fundamentals in Python.* Foundational understanding of machine learning concepts: supervised vs. unsupervised learning, training/validation/test splits, overfitting, and basic evaluation metrics.* Exposure to common ML/DL libraries such as scikit-learn, PyTorch, or TensorFlow through coursework or personal projects.* Comfortable with data manipulation libraries such as Pandas and NumPy.* Familiarity with Git and collaborative development workflows.* Strong problem-solving skills, intellectual curiosity, and the ability to communicate technical ideas clearly.* Blockchain experience is a must.## Preferred Qualifications* Personal projects, capstone work, or competitions (e.g., Kaggle) involving ML, NLP, or computer vision.* Exposure to LLM tooling such as the OpenAI API, Anthropic API, Hugging Face Transformers, or LangChain / LlamaIndex.* Familiarity with vector databases (e.g., Pinecone, Weaviate, pgvector) or basic RAG concepts.* Basic experience building REST APIs (e.g., FastAPI, Flask) to serve model outputs.* Awareness of MLOps concepts: experiment tracking, model versioning, and deployment (Docker, basic CI/CD).* Exposure to cloud platforms (AWS, Azure, or GCP) is a plus.* Strong written and verbal communication skills, and a thoughtful approach to AI safety and responsible use.## How to applyEmail [e-mail] with the role title in the subject line. Attach your CV (PDF preferred) and a short note — one or two paragraphs — covering why this role and what you've built that you're proud of. Links to repos, products, or writing welcome. We read everything; expect a reply within five business days.11 Collyer Quay #16-02 The Arcade,Singapore 049317