Job Ref. No. JLIL389
Role Purpose
The role holder is responsible for building, optimizing, and maintaining scalable AI infrastructure and systems that enable the efficient development, deployment, and operation of AI solutions across Jubilee, with a primary focus on Vertex AI Agent Builder. The role focuses on implementing end-to-end AI features, enhancing model performance, and managing distributed training and deployment environments, while ensuring seamless integration of AI models into production systems. Working within a fast-paced, product-driven environment, the role combines strong machine learning fundamentals with infrastructure expertise to deliver robust, high-performing AI capabilities that support business innovation and rapid delivery of AI-powered solutions.
Academic Qualifications and Relevant Experience
Bachelor's degree in Computer Science, Software Engineering, Mathematics, or a related field.
Relevant certifications in Google Cloud Platform, AI, or Machine Learning are an added advantage.
Demonstrated portfolio of AI/ML projects (e.g., GitHub, research, or production systems) is beneficial.
2 - 3 years of experience in machine learning engineering or AI development.
Proven experience deploying ML models into production environments.
Hands-on experience with Google Cloud Platform and Vertex AI.
Experience with distributed training, TPU/GPU optimization, and LLM-based applications.
Experience working in agile, fast-paced environments such as startups or mid-sized technology organizations is preferred.
Exposure to customer-facing AI products or production-grade systems is advantageous.