Associate, Mlops Engineer, Future Ready Technology, Group Technology

**MLOps Engineer - Future Ready TechJob 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.en