ML Engineer - AI-Driven Commerce & Growth

Rezolve Ai; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Rezolve Ai seeks a Machine Learning Engineer to design, build, and deploy scalable ML models for AI-powered commerce. You will work with cross-functional teams to solve complex problems, develop robust datasets, and continuously improve model performance in production environments.

The role welcomes experienced engineers and fresh graduates with a strong ML foundation who are eager to apply their skills to real-world AI challenges. Be part of a fast-moving, innovative global company.

Qualifications

• Proven experience building and deploying ML models in production environments.
• Strong programming skills with Python and ML libraries.
• Excellent analytical and problem-solving abilities.
• Experience collaborating with cross-functional teams (engineering, product, business).
• Excellent communication skills and ability to explain technical results to non-technical stakeholders.

Responsibilities

• Design, develop, and optimize ML models for business and customer problems.
• Build training datasets to improve model accuracy and fairness.
• Evaluate and monitor models with data-driven experimentation.
• Develop scalable tools and automation for model development and operation.
• Partner with product, engineering, and data teams to deploy production-ready ML solutions.
• Identify opportunities to improve data pipelines and analytical capabilities.
• Communicate findings clearly to stakeholders and stay updated on ML advances.

Skills

Python

Analytical thinking

Problem solving

Collaboration

Communication

Education

PhD or Master’s Degree in CS/EE/Statistics/Applied Mathematics or related

Tools

Pandas

NumPy

Scikit-learn

PyTorch

TensorFlow

Job description

Rezolve Ai seeks a Machine Learning Engineer to design, build, and deploy scalable ML models for AI-powered commerce. You will work with cross-functional teams to solve complex problems, develop robust datasets, and continuously improve model performance in production environments.

The role welcomes experienced engineers and fresh graduates with a strong ML foundation who are eager to apply their skills to real-world AI challenges. Be part of a fast-moving, innovative global company.