Machine Learning Software Engineer
1 semana atrás
Responsibilities - your mission
- Work with domain experts, data scientists and AI specialists to accelerate ML/AI 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
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, , Java, etc.
- Familiarity with CI/CD and DevOps principles
- 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 AWS or GCP
- 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
- The 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....) 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. If you meet the requirements of this unique opportunity, and you have the "Passion to Innovate" and the "Power to Change", we encourage you to apply now.
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.
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