Job Description

Business FunctoinGroup Technology and Operations (T&O) enables and empowers the bank with an efficient, nimble and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group T&O, we manage the majority of the Bank\'s operational processes and inspire to delight our business partners through our multiple banking delivery channelsResponsibilitiesAs a MLOps engineer and model developer at our Feature Ready Technology deparment, you will play a crucial role in driving the development and deployment of advanced machine learning solutions to address a wide range of business challenges. With a strong focus on cutting-edge technologies like Generative AI (GenAI) and Large Language Models (LLMs), you will collaborate closely with teams across Singapore, China, and India to deliver innovative and impactful ML-powered applications.

• Develop and deploy state-of-the-art machine learning models and algorithms to solve complex business problems across various verticals within the banking industry.
• Leverage the latest advancements in Generative AI and Large Language Models to create robust and adaptable solutions that address a diverse range of use cases.
• Work closely with cross-functional teams, including data scientists, software engineers, and business stakeholders, to understand requirements, design efficient solutions, and ensure seamless integration.
• Continuously evaluate and benchmark the latest GenAI and LLM trends, technologies, and best practices, and apply these insights to enhance the bank\'s ML capabilities.
• Collaborate with international teams in Singapore, China, and India to share knowledge, align on strategies, and ensure consistent delivery of high-quality ML solutions.
• Demonstrate strong communication skills, the ability to explain complex technical concepts to non-technical stakeholders, and a proven track record of delivering on tight timelines.
• Stay abreast of industry trends, participate in relevant conferences and events, and contribute to the broader machine learning community through publications, open-source contributions, or thought leadership.

Requirements:

• 5+ years of experience in machine learning, DevOps, MLOps, or a related field, with a strong background in developing and deploying production-ready ML models.
• Proficient in MLOps and Devops, including K8s or OCP, VLLM, FastAPI, Transformers.
• Good at modern machine learning frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn, and familiar with the latest advancements in Generative AI and Large Language Models.
• Excellent programming skills in Python, Groovy, SQL.
• Good experience cloud-based (AWS and GCP) infrastructure.
• Strong mathematical and statistical background, with a solid understanding of machine learning algorithms, optimization techniques, and model evaluation.
• Ability to work collaboratively in a fast-paced, multicultural environment, with excellent communication and presentation skills.
• Experience in working with cross-functional teams and stakeholders across different time zones and cultural backgrounds.
• Willingness to stay up-to-date with the latest trends and advancements in the field of machine learning, GenAI and a passion for continuous learning and innovation.

Apply NowWe offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognizes your achievements.

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