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- Develop and drive Company’s data strategy, including LOIs, data competency, and maintaining strong links with CIO Office
- Develop, implement, and maintain a comprehensive data governance and management framework that complies with WOG requirements
- Implement Lines of Inquiries
- Support data management and exploitation
- Develop MLOps and instill best practices
- Develop and enhance machine learning models and AI solutions, focusing on generative and discriminative AI applications
- Test, deploy, and maintain scalable and reliable AI systems
- Implement MLOps principles for efficient integration of machine learning models with data pipelines and infrastructure
- Work closely with data scientists and engineers to integrate AI into broader system architectures
- Facilitate knowledge sharing and technical training sessions to boost organizational AI competency
- Integrate AI models and systems with APIs and external systems for seamless data and functionality flow
- Stay abreast of AI trends to suggest improvements to existing systems and workflows
- Participate in the entire AI model lifecycle management, from data analysis and model building to integration and deployment
- Advocate for continuous improvement in AI practices and applications, aligning with our mission of leveraging advanced technologies
- Tertiary qualifications in computer science, statistics, applied mathematics, data management, information systems, information science, or a related quantitative field
- A minimum of three years of experience in AI and machine learning disciplines, including model development, deployment, and lifecycle management
- At least two years of experience in cross-functional team collaboration and supporting AI/GenAI initiatives.
- Proficiency in Python; familiarity with R is a plus
- Strong knowledge of AI frameworks such as TensorFlow, PyTorch, and scikit-learn
- Familiarity with AWS SageMaker, feature stores, model registry, and AWS cloud architecture
- Proficiency in SQL and containerization technologies like Docker and Kubernetes
- Excellent problem-solving skills, strong interpersonal skills, and the ability to work in a team environment
- Confident, energetic self-starter with a commitment to ethics, regulatory compliance, customer service, and business integrity
- Highly adaptable and committed to excellence in a dynamic business environment
- Demonstrated ability to work creatively and collaboratively with both business and IT teams
- Passionate about staying updated on AI advancements and advocating for continuous improvement in AI practices and applications
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