.Machine Learning & Prompt Engineer page is loaded Machine Learning & Prompt Engineer Apply locations Lisbon (Airbus Portugal) Coimbra time type Full time posted on Posted 2 Days Ago job requisition id JR10271958 Job Description: Responsibilities - your mission Work with domain experts, data scientists and AI specialists to accelerate ML/AI applications into production Developing 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 Participate in HR AI use cases analysis & feasibility studies Work with other HR digital teams to make the best use of HR data and systems Requirements - our ideal candidate will have Bachelor'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 Knowledge of NLP, embeddings and LLMs An understanding of software design & architecture An understanding of statistics and machine learning (eg deep learning, convolutional neural networks, Generative AI etc.) Familiarity with cloud environments such as GCP or AWS Fluent in written and spoken English Strong problem solving, communication, and collaboration skills Preferred Requirements An 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 Have strong communication skills and ability to explain complex technical concepts to non-technical stakeholders. Benefits - what's in it for you Diverse career opportunities within Airbus European core countries or in other regions around the world. A hybrid working model, allowing you to combine onsite and offsite work. A modern office 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. This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company's success, reputation and sustainable growth
