Ai Solutions Expert

1 week ago


Melbourne, Victoria, Australia Bebeearchitect Full time

Key Role: AI Solutions Architect
We are seeking a seasoned expert in designing and implementing cutting-edge AI solutions to join our team. As a key member of our organization, you will be responsible for developing innovative solutions that drive business growth and success.
The ideal candidate will have a strong background in cloud consulting and a proven track record of delivering complex AI projects on Cloud platforms. They will be able to communicate their expertise effectively and lead solution architecture development to meet the needs of our clients.
About the Role
Collaborate with cross-functional teams to design and implement AI solutions using emerging technologies from Google Cloud and AWS.
Lead solution architecture development, creating Statements of Work (SoWs), market case studies, and use cases that guide clients through AI transformation journeys on Cloud.
Communicate your expertise in Cloud and AI/ML architecture to clients, translating requirements into innovative AI solutions.
Contribute to knowledge exchange within our Cloud community.
Stay up-to-date with computer vision, NLP, conversational AI, Large Language Models, and MLOps, demonstrating a deep understanding of ML architecture and lifecycle management.
Develop enterprise-scale solution architectures considering ethics, security, regulatory, and compliance factors, ensuring responsible AI delivery.
Provide architectural leadership and technical guidance to development teams involved in implementation.
Requirements
A Master's or MBA in Computer Science or Engineering, with 10+ years in solution design and architecture, and 6+ years delivering complex AI/Data Analytics projects on Cloud platforms (Google/AWS).
Proficiency in statistical programming languages (R or Python) and applied machine learning techniques (computer vision, deep learning, conversational AI, NLP, NLU, Large Language Models).
Experience in systems design, including ML Operations platforms.
Strong collaboration skills and experience working with multi-geographical teams on data-driven projects.


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