AI ENGINEER

RMR INTERNATIONAL PRIVATE LIMITED; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

RMR INTERNATIONAL PRIVATE LIMITED in Singapore is seeking an AI Developer proficient in machine learning and deep learning. You will design models, preprocess data, implement algorithms, and deploy solutions while collaborating with technical and non-technical teams.

The ideal candidate possesses skills in Python, R, and Java, alongside expertise in TensorFlow and cloud platforms. You'll be expected to stay updated on AI trends and improve existing systems.

Responsibilities

• Design and build machine learning (ML) and deep learning (DL) models.
• Collect and clean structured/unstructured data.
• Develop AI algorithms such as Natural Language Processing (NLP), Computer Vision, and Recommendation Systems.
• Deploy AI models into production environments.
• Monitor model accuracy and performance.
• Collaborate with teams and explain AI concepts to non-technical stakeholders.
• Stay updated with latest AI trends.

Skills

Programming: Python

Programming: R

Programming: Java

ML/DL Frameworks

Data structures & algorithms

Statistics & Mathematics

Cloud & DevOps knowledge

Problem-solving

Critical thinking

Communication skills

Team collaboration

Tools

TensorFlow

PyTorch

Scikit-learn

SQL

AWS

Azure

Google Cloud

Job description

1. AI Model Development

• Design and build machine learning (ML) and deep learning (DL) models

• Work with frameworks like TensorFlow, PyTorch, Scikit-learn

• Train, test, and optimize models for accuracy and performance

2. Data Handling & Preprocessing

• Collect and clean structured/unstructured data

• Perform data preprocessing and feature engineering

• Work with large datasets using SQL, Python, or big data tools

3. Algorithm Implementation

• Develop AI algorithms such as:

  • Natural Language Processing (NLP)

  • Computer Vision

  • Recommendation Systems

• Improve model efficiency and scalability

4. Model Deployment & Integration

• Deploy AI models into production environments

• Integrate AI solutions with web or mobile applications

• Use cloud platforms (AWS, Azure, Google Cloud)

5. Performance Monitoring

• Monitor model accuracy and performance

• Update and retrain models when required

• Fix bugs and improve system reliability

6. Collaboration & Communication

• Work with software developers, data scientists, and business teams

• Explain AI concepts to non-technical stakeholders

• Document AI solutions and workflows

7. Research & Innovation

• Stay updated with latest AI trends

• Experiment with new tools and technologies

• Improve existing AI systems

Required Skills

Technical Skills:

• Programming: Python, R, Java

• ML/DL Frameworks

• Data structures & algorithms

• Statistics & Mathematics

• Cloud & DevOps knowledge

Soft Skills:

• Problem-solving

• Critical thinking

• Communication skills

• Team collaboration