Solutions Specialist: Google Cloud Platform and Advertising
Listed on 2026-10-11
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IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description To deliver expert solution design and advisory services by crafting and coordinating innovative, fit-for-purpose solutions that align with strategic objectives and business needs, ensuring optimal value for clients. Hello, future Solutions Specialist:
Google Cloud Platform and Advertising Join our Technology, Data and AI Capability team and help shape the future of AI-driven advertising. You'll contribute to the design, development, and deployment of innovative Artificial Intelligence and Machine Learning solutions that deliver measurable business outcomes while driving the execution of First Advertising's AI strategy and roadmap.
The Solutions Specialist is responsible for translating business opportunities into scalable AI solutions, leveraging Google Cloud Platform technologies to create intelligent advertising products that improve targeting, testing, reporting and analysis, optimisation, measurement, personalisation, and overall campaign performance. This role will be instrumental in supporting the development, implementation, and continuous evolution of First Advertising's AI capabilities by designing and delivering AI/ GenAI and Machine Learning solutions that create commercial value, improve operational efficiency, and advance innovation across the organisation.
Areyou someone who can:
Execute AI strategy and innovation initiatives by identifying and supporting opportunities that deliver business value and enhance digital advertising capabilities. Collaborate with stakeholders to translate business requirements into AI use cases, solution designs, and delivery plans. Design, develop, and deploy scalable AI and Machine Learning solutions that support the broader AI roadmap and business objectives. Build secure, reliable, and production-ready solutions using Google Cloud Platform (GCP) technologies.
Support the end-to-end delivery of AI solutions, from proof of concept and development through to deployment, monitoring, and optimisation. Contribute to solution design activities by applying architecture standards, technical guidelines, and AI best practices. Apply AI, Generative AI, and Machine Learning best practices to support the development, deployment, and continuous improvement of AI solutions. Analyse data, model performance, and business outcomes to identify opportunities for optimisation and enhancement.
Monitor and evaluate AI solution performance against defined business and technical objectives, supporting the measurement of business impact and value realisation. Communicate technical concepts, project progress, insights, and recommendations effectively to both technical and non-technical stakeholders. Collaborate effectively across business, data, technology, and marketing teams to deliver AI-driven outcomes and build strong stakeholder relationships. Contribute to a culture of innovation, collaboration, and continuous learning through knowledge sharing and ongoing professional development.
will be an ideal candidate if you:
- Hold a bachelor's degree in Computer science, Engineering, Technology, Data Science, Information Systems or related field
- Google Cloud Certified
- Have a minimum of 3 years’ relevant Data Analytics or Technology experience within Digital advertising, Ad-tech or Marketing.
- Have relevant experience in designing, developing, deploying, and supporting AI and Machine Learning solutions, preferably on Google Cloud Platform (GCP).
- Working knowledge of GCP, including Vertex AI, Big Query, and related cloud-native services.
- Proficiency in Python and SQL for data analysis, model development, automation, and solution delivery.
- Experience translating business requirements into scalable, value-driven technology solutions.
- Strong…
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