.Are you a Machine Learning Architect?If you identify with the BI and Big Data area, this opportunity could be the ideal step for your career!Our client is a company that works with international clients and has innovative projects that will allow you to enrich yourself professionally. In this company, you will be able to develop your skills as an Analytics Consultant, helping clients understand and analyze their data and you will have the opportunity to assume a team leader position.What will you find?Team spirit: a team that will support and will transmit a lot of knowledge about the projects and tools you will use. In addition, they have moments of relaxation outside work, which will allow you to strengthen your friendship with the team.Flexibility: hybrid work where you will only go to the office once a week. You will be able to set your own schedule and manage your time.Evolution and training: interact with different types of customers and adapt to each type. You will have a fully customized career plan and, every 6 months, there is the opportunity to talk to the manager, share feedback and new challenges.Innovation: contact with several technologies and work on international and innovative projects with recognized clients in the market. You will also be trained to work with these innovative technologies.Other benefits...Permanent contract, with the purpose that the person has a prolonged experience in the company.What will be your mission?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.What will make you triumph in this position?Degree in computer science, telecommunication engineering, or any other degree 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
