Provide technical leadership for the architecture, design, development, implementation, and quality assurance of AI solutions to align with mid-term and long-term business objectives and drive innovation.
Requirements
- 3 years of experience in AI, machine learning, deep learning, natural language processing, or data science with hands-on development and deployment
- 4 years of experience in collecting, analyzing, and curating large-scale data to drive business solutions
- 8 years of experience in design and deployment of enterprise applications through project life cycles
- Advanced knowledge and experience in any combination of AI/ML frameworks and tools, such as Oracle OCI Data Science, PyTorch, TensorFlow, Scikit-learn, and/or Hugging Face
- Advanced experience with generative AI applications and implementation
- Demonstrated knowledge of MLOps and CI/CD pipelines for AI model deployment and automation
- Proficiency in programming languages such as Python, Java, or C++
Responsibilities
- Design, build, implement, test, deploy, and maintain scalable AI models and applications
- Monitor AI model performance and optimize based on key performance indicators and feedback
- Design scalable and secure AI architectures to support enterprise-wide AI initiatives
- Select and integrate AI tools and platforms to optimize model development and deployment
- Oversee AI model lifecycle management to ensure efficient training, deployment, support, and monitoring
- Ensure data quality and accessibility by collaborating with data architect to build robust pipelines
- Translate business requirements into detailed technical blueprints and specifications, ensuring alignment with business objectives and seamless implementation
Other
- Execute the AI strategy to align with mid-term and long-term business objectives and drive innovation
- Ensure AI governance framework complies with legal, ethical, and responsible AI usage
- Align AI solutions with business and technical needs and improve process efficiency in collaboration with business units and shared services
- Monitor and investigate AI trends and innovations that have potential to be utilized by the Company, group companies, and parent company and recommend appropriate investments to immediate manager and company management
- Provide technical consulting, coaching, and training to IT Business Applications Team regarding AI processes to ensure successful implementation and continuous improvements
