Machine Learning Engineer
1 week ago
As Singapore's longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires.
Today, we're on a journey of transformation. Leveraging technology and creativity to become a future-ready learning organisation. But for all that change, our strategic ambition is consistently clear and bold, which is to be Asia's leading financial services partner for a sustainable future.
We invite you to build the bank of the future. Innovate the way we deliver financial services. Work in friendly, supportive teams. Build lasting value in your community. Help people grow their assets, business, and investments. Take your learning as far as you can. Or simply enjoy a vibrant, future-ready career.
Your Opportunity Starts Here.
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
Competitive base salary. A suite of holistic, flexible benefits to suit every lifestyle. Community initiatives. Industry-leading learning and professional development opportunities. Your wellbeing, growth and aspirations are every bit as cared for as the needs of our customers.
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