Associate, MLOps Engineer, Future Ready Technology, Group Technology

300005 Chief Executive's Office_00002555; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A forward-thinking technology firm in Singapore is seeking a Machine Learning Engineer to develop and deploy innovative machine learning solutions. The role emphasizes collaboration across teams in Singapore, China, and India while focusing on advancements in Generative AI and Large Language Models. Successful candidates will have extensive experience in machine learning frameworks and strong programming skills in Python. This is an exciting opportunity to make an impact in the banking sector through cutting-edge technologies.

Qualifications

• 5+ years of experience in machine learning or a related field.
• Proficient in modern machine learning frameworks and libraries.
• Excellent programming skills in Python.

Responsibilities

• Develop and implement machine learning models for banking.
• Collaborate with teams across multiple countries.
• Stay updated on advancements in Generative AI.

Skills

Machine Learning Frameworks

Python Programming

Data Engineering

Cloud Infrastructure

Statistical Analysis

Communication Skills

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Job Description - Associate, MLOps Engineer, Future Ready Technology, Group Technology (WD72639)

Job Summary: As a Machine Learning Engineer at DBS Future Ready Tech, 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.

Responsibilities

• Develop and implement 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, data science, or a related field, with a strong background in developing and deploying production-ready ML models.
• Proficient in 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, as well as experience with data engineering and cloud-based 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, and a passion for continuous learning and innovation.

If you're an ambitious and skilled Machine Learning Engineer with a passion for driving the future of banking through the power of Generative AI and Large Language Models, we encourage you to apply for this exciting opportunity.