- 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.
- 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.
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