Job Overview
This role is responsible for developing, deploying and optimising AI models that generate new content, insights or solutions based on existing data within the Gen AI Development team at CIMB. It focuses on designing and implementing machine learning models such as natural language processing, deep learning and other AI techniques to support business functions including customer service, fraud detection and risk management while ensuring compliance with industry regulations and data governance policies
Job Specification
Qualifications
Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field.
Relevant Work Experience
- 5+ years of overall ML experience with min 1-2+ experience in AI/ML engineering, with a focus on generative models and advanced machine learning techniques.
- Proven experience developing and deploying AI models in a production environment, preferably within the banking or financial services sector.
- Experience working with large datasets, data pipelines, and cloud-based AI platforms (e.g., AWS Sagemaker, Azure ML, Google AI Platform).
Competencies/Skills
Technical/Functional Skills:
- Proficiency in programming languages such as Python, R, or Java, and experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Strong knowledge of NLP, computer vision, and other generative AI techniques (e.g., GPT, BERT, GANs).
- Practical experience with:
- Python programming
- LLM frameworks (e.g., LangChain, LlamaIndex)
- Vector databases (e.g., Pinecone, Weaviate)
- Prompt engineering techniques
- Experience with MLOps tools and practices, including version control, CI/CD, containerization (e.g., Docker), and orchestration (e.g., Kubernetes).
- Strong understanding of data and AI technologies, trends, and best practices. Experience in working with data-driven projects and initiatives.
- Computer Literacy knowledge in Microsoft Office Excel, Words, & Powerpoint
Personal skills:
- Ability to manage AI/ML projects, including model development, testing, deployment, and monitoring.
- Strong understanding of agile methodologies and experience working in cross-functional teams.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work collaboratively with technical and non-technical stakeholders.
- Proactive mindset with a strong drive for innovation and continuous learning.
