MACHINE LEARNING ENGINEER (GRAPH ANALYTICS)

Machine Learning Engineer (Graph Analytics)Madrid, Spain Hybrid way of workingWould you like to work for one of the leading IT firms worldwide and join our CoE in Analytics & Big Data in Spain? Do you have a strong background in building data-driven applications over Big Data environments? Do you enjoy helping customers to enhance their business by communicating results through advanced data visualizations? Are you business minded, proactive, curious, and independent? If so, we would like to join our team in Madrid!As our future Machine Learning Engineer, you will: Develop and maintain complex ontologies using first-order logic and formalisms to represent social data effectively.Handle large volumes of social data in graph and document formats using Big Data technologies.Implement and maintain production APIs for deploying data pipelines and ML models interacting with graph-based data structures.Apply advanced machine learning and graph analysis techniques to extract insights from complex social datasets.Collaborate closely with multidisciplinary teams to integrate AI solutions for specific challenges in social data analysis.Your profileYou have a bachelor’s degree in Computer Science or Engineering, and at least 2 years of experience working preferably within the IT and/or consultancy industry and working on projects related to data loading processes, master data management, mockups design, building impressive data visualizations and dashboards, making you experienced with:Strong skills related to Graph management and ontologies designProgramming languages: Java, PythonBack-end technologies: Java, Spring Framework, Hibernate ORMProcessing large volumes of data: Spark, GraphX, etc.Analytic mindsetFast learner and goal-orientedGood practices in development: SOLID principles, TDD, design patterns, refactoringWe will value it if you can bring to the team some experience working with the following technologies but is not mandatory, you can learn on the way!Experience with Docker, Kubernetes, and related technologies.Experience with Big Data technologies, such as Kafka, ElasticSearch, and Spark.Experience with graph analytics and knowledge base (SPARQL, GraphDB).Experience with microservices architecture.Familiarity with MLOps and ML fundamentals.Good practice with CI/CD and development methodologies.You were born with an analytical mind and a self-motivation that urges you to strive for results. You are a natural team player, eager to learn, and flexible to adapt regardless of the environments you are required to join. Next to this, you are fluent in Spanish and English.What is in it for you?When you join our team, we offer you a competitive salary and secondary benefits. You will get the opportunity to work in a flexible environment, with lots of room for personal growth. We offer additional training possibilities and the opportunity to expand your career internationally while working for an employer awarded the Great Place to Work Certification.Shape your world and achieve togetherWe want the best people on our team, so we welcome and encourage applications from people with a diverse variety of experiences, backgrounds, and identities. We are committed to equality of opportunity for all. If you want to work alongside people with different ideas, in an inclusive business, that will welcome you and support you, come and co-create the future at Fujitsu.About FujitsuSince being founded in Japan in 1935, we have continued to demonstrate our technological prowess and the persistent pursuit of innovation. As a world-leading digital transformation partner, our business structure is aligned with the modern digital world. We use our experience and the power of IT to shape the future of society with our customers. More information: www.fujitsu.com