Engineer ML models to production in GCP owning the model maintenance, monitoring and support activities
Enhance existing quantitative and generative AI solutions or developing new by translating business questions and requirements into actionable insights.
Align with state-of-the art AI development and deployment standards.
Deliver efficient solutions and identify possible opportunities of AI adoption.
Leverage the standards, the Data Lake and the existing cloud infrastructure as well as the current technology landscape to design the solutions adopted by the AI Center of Excellence.
Test the solutions and run pilot activities (e.g. : A / B testing), in close coordination with the business partners, needed to validate business outcomes.
About you
We are looking for a unique and amazing talent, who brings along the following :
University degree / Education, preferably in Mathematics, Statistics, Computer Science, or similar.
Minimum 2 years of professional experience in a similar role within an international setting.
Excellent analytical and problem-solving skills
Excellent English proficiency, presentation, and communication skills
Proven experience on AI solutions development and deployment in GCP, preferably Vertex AI.
Proven experience in Python, CICD, Pipeline Frameworks (Kubeflow, Mlflow, TFX), database languages (e.g., SQL) and relevant Docker / Containerization basics.
Good experience on Google Cloud, especially on VertexAI, Cloud Build, Monitoring and Logging. (certifications are a plus)