AI ENGINEER
Summary
AI Engineer in Singapore who designs, trains, and deploys machine learning and deep learning models (NLP, computer vision, recommendation systems) using Python, TensorFlow/PyTorch, SQL, and cloud platforms like AWS, Azure, or GCP, while monitoring performance and collaborating with developers and business teams.
🔹 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
