AI Engineer

Techzu Ichicode Pte Ltd; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Techzu Ichicode Pte Ltd in Singapore is seeking an AI/ML engineer to design, develop, and deploy models for real-world applications, including NLP, vision, and analytics. You will collaborate with product teams to integrate AI into web and mobile platforms and build robust data pipelines.

You will train and fine-tune models on structured and unstructured data, stay current with state-of-the-art techniques, and work with software engineers and stakeholders to define technical requirements and

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
• 2–5 years of hands‑on experience in AI/ML model development and deployment.
• Proficient in Python and popular ML libraries such as TensorFlow, PyTorch, Scikit‑learn, Hugging Face, etc.
• Experience with LLMs, generative AI, or conversational AI is a strong plus.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools like Docker.
• Understanding of RESTful APIs, data preprocessing, and MLOps tools.
• Strong problem‑solving skills and ability to work in a fast‑paced, collaborative environment.

Responsibilities

• Design, develop, and deploy AI models and intelligent systems for real-world applications (e.g., NLP, computer vision, predictive analytics).
• Work with product teams to integrate AI solutions into web and mobile platforms.
• Train and fine-tune machine learning models using structured and unstructured data.
• Develop data pipelines and automate model evaluation, training, and deployment processes.
• Stay current with state-of-the-art AI/ML techniques and tools, applying them effectively to projects.
• Collaborate with software engineers, data scientists, and stakeholders to define technical requirements and deliver solutions.

Skills

Team collaboration

Problem solving

Fast-paced environment

Education

Bachelor’s or Master’s in CS/AI/Data Science

Tools

Python

TensorFlow

PyTorch

Scikit-learn

Hugging Face

Docker

AWS

Azure

GCP

Job description

Design, develop, and deploy AI models and intelligent systems for real-world applications (e.g., NLP, computer vision, predictive analytics).

Work with product teams to integrate AI solutions into web and mobile platforms.

Train and fine-tune machine learning models using structured and unstructured data.

Develop data pipelines and automate model evaluation, training, and deployment processes.

Stay current with state-of-the-art AI/ML techniques and tools, applying them effectively to projects.

Collaborate with software engineers, data scientists, and stakeholders to define technical requirements and deliver solutions.

Requirements:

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.

2–5 years of hands‑on experience in AI/ML model development and deployment.

Proficient in Python and popular ML libraries such as TensorFlow, PyTorch, Scikit‑learn, Hugging Face, etc.

Experience with LLMs, generative AI, or conversational AI is a strong plus.

Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools like Docker.

Understanding of RESTful APIs, data preprocessing, and MLOps tools.

Strong problem‑solving skills and ability to work in a fast‑paced, collaborative environment.