Machine Learning Systems Architect
4 semanas atrás
About the Role
As a Machine Learning Architect at SDG Group, you will be part of a multidisciplinary team responsible for developing machine learning and artificial intelligence solutions in complex technical environments. You will have the opportunity to work with a full range of innovative technologies to build AI solutions under different paradigms of predictive analytics and deep learning, applying the right principles in terms of architecture and development.
Responsibilities
Lead teams of machine learning engineers in the implementation of AI solutions in enterprise environments. Define and design Advanced Analytics platforms in the cloud to cover the entire data science lifecycle from an MLOps perspective. Help our customers define their strategy and methodology when considering the exercise of data science in these platforms. Know and use the various tools and platforms available in different clouds for the development of data science solutions: Azure Databricks, Azure Machine Learning, Amazon SageMaker, Google Vertex AI, etc.
Benefits
Collaborate in the development of the company's value proposition in terms of data science, putting special focus on our vision about architectures for ML systems. Collaborate with the momentum department and different consulting teams on the development of business proposals from a solution architect perspective. Through our Smart Work culture, you can define the work model that best suits you and your personal needs, while also collaborating on high-impact initiatives for leading clients in their respective industries.
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