.Social network you want to login/join with:Machine Learning Software Engineer, CoimbraClient:Location: Coimbra, PortugalJob Category:OtherEU work permit required:YesJob Reference:37bcdf4951b2Job Views:3Posted:02.04.2025Expiry Date:17.05.2025Job Description:Responsibilities - your missionWork with domain experts, data scientists and AI specialists to accelerate ML/AI into production.Develop ML systems, considering all aspects of the ML product lifecycle including model training, deployment, monitoring, and validation.Support architecture discussions on integration of AI/ML in existing IM applications.Deploy and maintain both software and ML systems in multi-cloud and on-prem environments.Help define software engineering and MLOps best practices to be adopted across the business.Requirements - our ideal candidate will haveBachelor's or Master's degree (or equivalent) in a STEM subject.Experience in one or more programming and/or scripting languages such as Python, Node.Js, Java, etc.Familiarity with CI/CD and DevOps principles.An understanding of software design & architecture.An understanding of statistics and machine learning (e.G., deep learning, convolutional neural networks, generative AI, etc.
).Familiarity with cloud environments such as AWS or GCP.Fluent in written and spoken English.Strong problem solving, communication, and collaboration skills.Preferred RequirementsAn understanding or experience with RESTful APIs and microservices architecture.Familiarity with agile development principles.An understanding of MLOps and the machine learning product life cycle.Familiarity developing software or infrastructure for scalable systems.Prior experience with optimizing machine learning algorithms.Experience designing, building, and operating machine learning solutions, leveraging specific machine learning architectures.Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders.Benefits - what's in it for youThe chance to work in a multicultural environment.The opportunity to grow your skills and capabilities thanks to our Airbus learning offer (digital solutions, classroom sessions, certified training, etc.)
and career opportunities across the globe.A hybrid working model, allowing you to combine onsite and offsite work.A modern office at Parque das Nacoes, well connected to public transportation.A motivated and fun crew to grow and build and shape the GBS together.An intense and exciting onboarding experience.Work in a balanced environment: Beyond the many benefits offered to its employees, joining Airbus is also the guarantee of a respectable work-life balance.
At Airbus, we support you to work, connect and collaborate more easily and flexibly.
Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.Your application:Airbus offers a wide variety of competitive benefits and development opportunities