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.
Company:
Airbus Portugal SAEmployment Type:
Permanent-------
Experience Level:
ProfessionalJob Family:
Digital <JF-IM-DI>By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.
Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com.
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.
![Airbus](https://storage.googleapis.com/echojobs.io/static/logos/airbus-com.png)
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