Senior AI / Machine Learning Engineer

CLIPLY PTE. LTD.; Singapore; On-site; SGD 80,000 - 110,000; Full time

Job summary

A tech-driven company in Singapore seeks a Senior AI/Machine Learning Engineer to build and optimize machine learning models for content understanding and scoring. The ideal candidate will implement deep learning models, monitor model performance, and collaborate on deployment via scalable APIs, all while maintaining high-quality code. A strong background in Python and experience with ML frameworks like PyTorch or TensorFlow are essential. Applicants should have a Bachelor’s degree and relevant industry experience.

Qualifications

• 4–7+ years of experience as an ML Engineer or equivalent role.
• Experience in at least one domain like NLP or audio processing.
• Familiarity with GPU training and cloud-based ML workflows.

Responsibilities

• Implement deep learning models for video, image, audio, or text.
• Monitor model performance in production environments.
• Collaborate with backend engineers to deploy models.

Skills

Proficiency in PyTorch

Experience in computer vision

Strong coding skills in Python

Understanding of model optimization techniques

Education

Bachelor’s degree in Computer Science

Tools

TensorFlow

MLflow

Job description

Job Summary

Senior AI / Machine Learning Engineer will build, train, and optimize machine learning models for content understanding, ranking, and scoring. You will transform research concepts into robust, production-ready ML pipelines and maintain high-quality code to drive impactful AI solutions.

Responsibilities

• Implement deep learning models for video, image, audio, or text using modern frameworks to enhance content understanding and ranking capabilities
• Develop and maintain training and evaluation pipelines, including data loaders, augmentations, and metrics, to ensure reliable model performance
• Design and execute experiments, tune hyperparameters, and optimize models for latency and accuracy to meet production requirements
• Collaborate with backend engineers to deploy models via scalable APIs and services, enabling seamless integration into production systems
• Monitor model performance in production environments and design retraining and improvement loops to sustain and enhance model effectiveness
• Contribute to the development of ML tooling, experiment tracking systems, and comprehensive documentation to support team productivity and knowledge sharing

Required competencies and certifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
• 4–7+ years of experience as an ML Engineer, Applied Scientist, or equivalent role
• Proficiency in PyTorch or TensorFlow and common machine learning libraries to develop and optimize models
• Experience in at least one domain: computer vision, video processing, speech/audio processing, or natural language processing (NLP)
• Strong understanding of model optimization techniques such as quantization, pruning, distillation, and batching to improve model efficiency
• Familiarity with GPU training, distributed training, and cloud-based ML workflows to support scalable model development
• Strong coding skills in Python and solid grasp of software engineering best practices to produce maintainable and efficient code

Preferred competencies and qualifications

• Master’s degree in Machine Learning, Artificial Intelligence, Data Science, or related field preferred but not mandatory with sufficient experience
• Experience with MLOps tooling such as MLflow or Weights & Biases (W&B) to streamline model lifecycle management
• Background in Kaggle competitions or similar machine learning contests demonstrating practical problem-solving skills
• Prior experience working in startup environments, contributing to fast-paced and innovative projects