
Data Scientist Ai
4 semanas atrás
**Responsibilities - your mission**
Are you passionate about Artificial Intelligence (AI) and eager to join the cause of pioneering sustainable aerospace for a safe and united world?
If so, we have just the right job for you in Airbus as a Data Scientist based in Lisbon or Coimbra, Portugal.
We are the central Advanced Analytics and Artificial Intelligence team in Airbus for commercial aircraft and we deliver business impact through AI products and services across the entire value chain all the way from selling, designing, procuring, manufacturing to servicing aircraft. As such, we are responsible for solving all aspects and challenges of the machine learning (ML) product lifecycle, including problem exploration, solution development and deployment into cloud native environments at scale.
As part of our team you will work, learn and grow among an international and diverse group of top talent data scientists, software engineers, product managers and many more based across Europe and India. With truly vast amounts of data from all over the Airbus ecosystem at our disposal paired with an unparalleled product complexity, we are exposed to unique and exciting challenges, working at the forefront of AI in the aviation industry.
**Key responsibilities for this role include but are not limited to**:
- Work with domain experts, machine learning engineers and AI specialists to develop AI solutions hands-on and accelerate them into production. This can include ML model development as well as utilization of GenAI foundation models
- Partner with business functions on missions to tackle business painpoints and priorities, build analytical insights and derive AI related opportunities
- Support our AI capability teams in defining and delivering on AI capability roadmaps (built around technology pillars like computer vision, NLP, generative AI, knowledge extraction and time-series anomaly detection) targeting reusable services and components which are consumed by a wide range of IT products
- Contribute to creating company wide AI development and deployment best practices and blueprints to be adopted across the business. Advocate and support their adoption in Airbus Portugal
**Core Qualifications**
- Strong, fundamental understanding of common ML algorithms
- First experience with building GenAI workflows including RAG and embeddings
- High Proficiency in Python and experience with common ML libraries and frameworks
- Familiarity with cloud environments such as AWS or GCP
- Fluent in written and spoken English
**Preferred Qualification and Experience**:
- Experience in customer facing roles focused on business impact and managing expectations
- Deepened knowledge in either of the following fields: NLP, Computer Vision, Time Series Analysis, GenAI
- Familiarity with CI/CD and DevOps principles
- An understanding of software design & architecture
- Strong problem solving, communication, and collaboration skills
At Airbus your personal development and continuous learning is dear to us and actively supported. With us you will find a sheer infinite, diverse and exciting amount of worldwide career opportunities in the space and aviation industry. So come on board Your journey in Airbus is only limited by what you make of it.
This position requires occasional travel within Europe.
**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 SA
**Employment Type**:
Permanent**Experience Level**:
Professional
**Job Family**:
Digital
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.
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