As 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.Responsibilities: 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.
