Machine Learning Architect
SDG Group
- Lisboa
- Permanente
- Horário completo
- 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.
- 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.
- Degree in computer science, telecommunication engineering, or any other degree in in a technical environment with proximity to software engineering.
- 8 years or more of general experience, and at least 5 years of experience as a machine learning engineer and/or machine learning architect.
- Theoretical and practical knowledge of data science fundamentals, data science solution lifecycles, and MLOps methodology.
- Experience in software development and implementation of machine learning and artificial intelligence solutions.
- Experience in designing and building architectures for the implementation of machine learning systems and platforms.
- Knowledge of and experience in state-of-the-art technologies for the foundation of machine learning and artificial intelligence solutions in the cloud.
- Communication and presentation skills in English and (desirably) Spanish.
- First contact with our People First area (where we will discuss professional growth, salary band and define which areas suit you).
- Second technical session where you can surprise us with all your knowledge and skills in technological environments (so we can offer you a project that matches your knowledge and interests).
- Meeting with the person in charge of the team you will be joining in order to solve any doubts that may have emerged during the process.
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