Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
10 years of experience in cloud computing, with a focus on Artificial Intelligence/Machine Learning (AI/ML), data analytics, and data engineering.
Experience with modern application development and Developer Operations (DevOps) practices, including Continuous Integration/Continuous Deployment (CI/CD), containerization (Docker, Kubernetes), and infrastructure-as-code.
Experience in programming languages such as Python with developing and deploying Generative Artificial Intelligence (GenAI) models and applications.
Experience with data analysis, data engineering, database technologies (SQL, NoSQL), and data warehousing solutions.
Ability to analyze business problems and develop technical solutions.
Preferred qualifications:
10 years of experience in cloud computing, with AI/ML, data analytics, and data engineering, in a customer-facing or consulting role.
Experience in architecting and developing software or infrastructure for scalable, distributed systems, particularly those related to AI/ML workloads.
Experience in understanding customer requirements and designing technical architectures to meet needs.
Experience in building prototypes and proof-of-concepts to demonstrate solutions.
Experience in managing stakeholder expectations and building consensus around technical projects.
Knowledge of cloud services related to AI/ML, data analytics, and data engineering.