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AI Engineer at Fuku
Singapore, , Singapore -
Full Time

Start Date

Immediate

Expiry Date

05 Jul, 26

Salary

0.0

Posted On

06 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, Machine Learning, LLMs, MLOps, MLflow, Weights & Biases, AI Agents, RAG, Docker, Kubernetes, CI/CD, GPU Optimization, Statistics, Linear Algebra, Feature Engineering, Cloud Optimization

Industry

Retail Apparel and Fashion

Description
AI Engineer Role & Responsibilities: - Design, develop, and deploy end-to-end machine learning solutions, including large language models (LLMs), embeddings, and multi-agent systems. - Build robust data pipelines and manage model lifecycles from experimentation to production deployment. - Operationalize AI workflows and integrate autonomous agentic systems into enterprise applications. - Containerize applications using Docker, orchestrate deployments via Kubernetes, and maintain CI/CD pipelines for ML/AI projects. - Collaborate with data scientists, engineers, and stakeholders to convert research prototypes into production-grade solutions. Skills Required: - Strong proficiency in Python, machine learning frameworks, and hands-on experience with MLOps tools such as MLflow and Weights & Biases (W&B). - Experience with LLMs, AI agents, Retrieval-Augmented Generation (RAG) systems, and orchestrating multi-agent workflows. - Knowledge of DevOps practices, Docker, Kubernetes, GPU/cloud optimization, and CI/CD pipelines. - Solid foundation in statistics, linear algebra, optimization, and feature engineering for machine learning. - Excellent problem-solving, analytical, and collaboration skills, with a continuous learning mindset.
Responsibilities
Design, develop, and deploy end-to-end machine learning solutions including LLMs and multi-agent systems. Manage model lifecycles and integrate autonomous agentic systems into enterprise applications using containerization and CI/CD pipelines.