ML & GenAI Engineer — Cloud ML Pipelines

SBI International; Singapore; On-site; SGD 90,000 - 150,000; Full time

Benefits offered by this job

Competitive salary

Multinational team

Flexible, collaborative environment

International exposure

Health and accident insurance

Job summary

SBI International in Singapore is seeking an ML/AI Engineer to build, test, and support AI-powered solutions. You’ll turn notebooks into production-grade code, automate pipelines, and integrate ML outputs into business systems.

The role requires strong Python skills, ML fundamentals, and hands-on experience with SQL and cloud-based data platforms. A great fit for a technically strong developer profile.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, or related field.
• Strong Python coding skills with ML libraries and notebooks.
• Experience with pandas, SQL, and cloud platforms (Snowflake, Databricks, Azure or AWS).
• Exposure to CI/CD workflows and MLOps concepts.
• Understanding of end-to-end ML lifecycle from data prep to deployment.
• Familiarity with NLP, LLMs, RAG and GenAI technologies.

Responsibilities

• Develop and fine-tune ML models for structured, semi-structured, and unstructured data.
• Design reproducible ML pipelines including preprocessing, training, testing, and deployment.
• Work with cloud-native platforms to access, prepare, and deliver data and model outputs.
• Apply GenAI/LLMs for summarization, insights, and visual outputs.
• Collaborate with data scientists, engineers, and stakeholders to align on requirements.
• Produce clean, well-documented Python code and reusable components.
• Stay current with GenAI trends and contribute to team learning.

Skills

Python

ML libraries

Pandas

SQL

Cloud platforms

NLP/LMMs

CI/CD/MLOps

Education

Bachelor’s degree in Computer Science or Data Science

Tools

Snowflake

Databricks

Azure/AWS

Scikit-learn/XGBoost

Jupyter notebooks

Job description

SBI International in Singapore is seeking an ML/AI Engineer to build, test, and support AI-powered solutions. You’ll turn notebooks into production-grade code, automate pipelines, and integrate ML outputs into business systems.

The role requires strong Python skills, ML fundamentals, and hands-on experience with SQL and cloud-based data platforms. A great fit for a technically strong developer profile.