Applied ML Research Engineer - Production-Ready AI

EVOLUTION RECRUITMENT SOLUTIONS PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

EVOLUTION RECRUITMENT SOLUTIONS PTE. LTD. is seeking an Applied AI Researcher / ML Research Engineer to join the AI Product team. The role focuses on deploying AI models into real-world products with measurable business impact.

The candidate should have hands-on experience with CNNs and Transformer-based models, and be able to translate research into production-ready solutions while collaborating with product, engineering, and business teams.

Qualifications

• Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, AI, ML, Data Science, or related field; Master’s or PhD preferred.
• Hands-on experience with CNNs and Transformer-based models.
• Experience training, fine-tuning, evaluating, or improving deep learning models.
• Strong understanding of deep learning fundamentals, architectures, loss functions, optimization, and training dynamics.

Responsibilities

• Design, train, fine-tune, evaluate, and improve deep learning models for real-world AI applications.
• Work with neural network architectures, including CNNs and Transformer-based models.
• Conduct experiments to validate model performance, reliability, and generalisation on unseen data.
• Select and apply loss functions, architectures, and training strategies based on the problem.

Skills

CNNs

Transformer models

Python

Model evaluation

Education

Bachelor's degree

Master's degree or PhD preferred

Tools

PyTorch

TensorFlow

Job description

EVOLUTION RECRUITMENT SOLUTIONS PTE. LTD. is seeking an Applied AI Researcher / ML Research Engineer to join the AI Product team. The role focuses on deploying AI models into real-world products with measurable business impact.

The candidate should have hands-on experience with CNNs and Transformer-based models, and be able to translate research into production-ready solutions while collaborating with product, engineering, and business teams.