Machine Learning Engineer

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