Hello! Welcome to the place responsible for developing the technology that improves the lives of 160 million customers around the world! This job offer is an opportunity not only to join a great company but also to collaborate in projects that have a real impact on society. We are looking for a MLOPS ENGINEER based in our MALAGA office, with at least 3 years of experience in Python and Cloud.
Santander Digital Services (SDS) is the team of technology and operations at Santander. We are convinced of the importance of technology that is aligned with the requirements of the business and that our work not only brings value to users, people and communities but also fosters individual creativity.
Our team of over 7,000 people in 8 countries (Spain, Portugal, Poland, UK, USA, Mexico, Chile, and Brazil) develops and/or implements financial solutions across a broad spectrum of technologies (including Blockchain, Big Data, and Angular among others) on all kinds of on-premise and cloud-based platforms. We are undergoing one of the biggest transformations in our history and technology is at the heart of our strategy. Join our team to play a part in one of the most important technological projects for the financial sector in the world.
One of our guiding principles is continuous innovation, working with Agile and DevSecOps methodologies and adopting all the leading market technology to work with the best tech stack. We recently received Top Employer certification in Spain, Europe, and globally for the sixth consecutive year and we are one of the World's 25 Best Workplaces. We are very proud to be an equal opportunities organisation and we are building a dynamic and proactive team.
All we ask from you is that you bring a positive attitude and share our values and a commitment to the development of cutting-edge technology, no matter where you come from or where you end up.
Your RoleWe are looking for a MLOPS ENGINEER for our COE BIG DATA & CLOUD department, a key team in our technology ecosystem. This area is responsible for putting artificial intelligence and data analytics models into production. In addition to the creation of different methods for obtaining data, ETL, and pipelines that streamline the entire process of developing analytical models for business improvement. Your main tasks will be:
Productivization of models in heterogeneous environments (APIs, pipelines, automations, chatbots).Python and API development (FastAPI, Flask).Automatic deployment of Cloud services.Administration of Cloud environments (Azure, AWS).What You'll BringYou're sure to fit in if you like technology and are constantly learning about new developments, as well as having an interest in better understanding the risks faced by the Bank. In addition to developing your technical skills, you should also be interested in improving your soft skills.
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