Machine Learning Engineer

OVERSEA-CHINESE BANKING CORPORATION LIMITED; Singapore; On-site; SGD 70,000 - 95,000; Full time

Job summary

A leading financial institution is seeking a skilled Machine Learning Engineer to harness machine learning for business growth. In this role, you will design and deploy AI solutions, develop data pipelines, and collaborate on innovative projects. The ideal candidate will have a degree in Computer Science and over 3 years of experience in machine learning, with strong programming skills in Python, Java, or C++. This opportunity offers impactful work in a dynamic environment based in Singapore.

Qualifications

• 3+ years of experience in machine learning engineering with a proven track record.
• Strong foundation in machine learning and software engineering.
• Excellent problem-solving skills.

Responsibilities

• Design, develop, and deploy machine learning models and algorithms.
• Collaborate with teams to identify opportunities for AI-driven innovation.
• Develop and maintain large-scale data pipelines to support ML workflows.
• Continuous monitoring and improvement of model performance.

Skills

Machine Learning

Python

Java

C++

TensorFlow

PyTorch

Scikit-learn

Problem-solving

Collaboration

Education

Degree in Computer Science or related field

Job description

Why Join

Imagine being part of a team that harnesses the power of machine learning to drive business growth and innovation at OCBC. As a Machine Learning Engineer, you'll play a key role in developing and deploying AI solutions that transform the way we deliver financial services. You'll have the opportunity to work on complex problems, collaborate with cross‑functional teams, and see the impact of your work on our customers and business.

How you succeed

To succeed in this role, you'll need to stay at the forefront of machine learning advancements and apply your expertise to drive business outcomes. This means collaborating with stakeholders to understand business needs, designing and developing scalable AI solutions, and continuously monitoring and improving model performance. You'll need to balance technical complexity with business acumen and communicate effectively with both technical and non-technical stakeholders.

What you do

• Design, develop, and deploy machine learning models and algorithms to solve complex business problems
• Collaborate with data scientists, product managers, and engineers to identify opportunities for AI-driven innovation
• Develop and maintain large-scale data pipelines and architectures to support machine learning workflows
• Work with stakeholders to understand business needs and develop solutions that meet those needs
• Continuously monitor and improve model performance, identifying areas for optimization and improvement

Who you are

• A degree in Computer Science, Mathematics, or a related field, with a strong foundation in machine learning and software engineering
• 3+ years of experience in machine learning engineering, with a proven track record of developing and deploying AI solutions
• Strong programming skills in languages such as Python, Java, or C++
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Excellent problem‑solving skills, with the ability to balance technical complexity with business acumen
• Strong communication and collaboration skills, with the ability to work effectively with cross‑functional teams