- Singapore Singapore
MATRIX PROCESS AUTOMATION SDN. BHD. Hiring! Full Time AI Engineer in , Earn up to SGD 10,000 - Ricebowl
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Job Description
Responsibilities
- Design, develop and deploy machine learning solutions and services
- Implement end-to-end machine learning pipelines from data ingestion to training and model serving
- Operationalize LLMs, embeddings, and multi-agent systems in real-world applications
- Manage the machine learning and model lifecycle (experimentation, registry, deployment)
- Oversee the model promotion lifecycle, coordinating validation gates and approval workflows to safely deploy new model versions from stating to production
- Containerize applications using Docker and orchestrate them via Kubernetes
- Build and maintain CI/CD pipelines for ML models and LLM applications
- Advanced proficiency in Python programming with a focus on writing clean, testable and efficient code
- DevOps & Containers: Proficient with Docker for containerization and working knowledge of Kubernetes (k8s) for orchestration
- Practical understanding of GPU architecture and cloud compute instances to optimize resource allocation for training and inference workloads
- MLOPS tools: hands on experience with MLflow (or similar tools like weights & biases) for experiment tracking and model registry
- Proven experience working with Large Language Models (LLMs)
- Good understanding of AI agents & agentic workflows, LLM orchestration frameworks and reasoning patterns
- Experience with data preprocessing, feature engineering, and model selection and evaluation techniques
- Hands-on experience with CI/CD pipelines (GitLab, Jenkins)
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