Data Scientist, AI Lab (Manager)

Job Description - Data Scientist, AI Lab (Manager) (240001U6)

Data Scientist, AI Lab (Manager) - ( 240001U6 )

Overall Role Purpose:

• Working within the Group Data Office, you will leverage huge volumes of Structured and Unstructured data to solve real business problems across the OCBC Group.
• You will work closely with business to understand their problem statements and transform them into ML and AI challenges when needed.
• You will work with AI and generative AI, assessing, building and serving AI applications for conversational bots and content generation.

Responsibilities:

• Work with business leaders across OCBC Group to identify opportunities for leveraging big data and Data Science to drive value for our customers and business.
• Develop and maintain machine learning/deep learning models to achieve the desire business outcomes – such as State of the Art Reinforcement learning system or RAG.
• Develop and maintain models in production. Set up controls and monitoring for the models.
• Use MLOps processes and tools to monitor and refine Production model performance and accuracy.

Specific Knowledge:

• Ideally with a Master or PhD degree in Statistics, Mathematics, Computer Science, Software Engineering or other quantitative field with 3 years of relevant work experience.
• Solid understanding of software engineering design patterns and best practices.
• Proficient in writing clear and effective Python code and model documentation.
• Hands-on experience, building and deploying AI model pipelines into production.
• Familiarity with model deployment via RESTful APIs with tools such as FastAPI and Ray Serve.
• Experience with SQL and big data technologies such as Hadoop, Trino, and Spark.
• Experience with chatbots and Elasticsearch is a plus.
• Some experience in the use of CI/CD and DevOps tools such as Jira, Jenkins, GIT/Bitbucket.
• Have a passion for AI and ML, and want to learn more everyday

Communication & Soft Skills:

• Ability to execute in a fast-paced environment.
• Creativity to see possibilities within the data & translate into compelling stories, decisions, and actions for non-technical business users.
• Strong communication skills and drive to deliver business benefits in the real-world.
• Genuine drive to learn and master new technologies and techniques.