Machine Learning Software Engineer

3 semanas atrás

Lisboa, Lisboa, Portugal Randstad Ii - Prestação De Serviços, Limitada Tempo inteiro
Our client pioneers sustainable aerospace for a safe and united world. The Company constantly innovates to provide efficient and technologically-advanced solutions in aerospace, defense, and connected services. In commercial aircraft, our client offers modern and fuel-efficient airliners and associated services. They are also a European leader in defense and security and one of the world's leading space businesses. In helicopters, they provide the most efficient civil and military rotorcraft solutions and services worldwide.

Our people work with passion and determination to make the world a more connected, safer and smarter place. Taking pride in our work, we draw on each other's expertise and experience to achieve excellence.

Our diversity and teamwork culture propel us to accomplish the extraordinary - on the ground, in the sky and in space.

Founded in 2021, this Business Unit will be contributing to their global success and play a vital role in their transformation journey in standardization, harmonization, digitalisation and automation of end-to-end processes (e.g.
Procure to Pay) of all overhead functions.

Their target is that siloed ways of working/ processes will be a relic of the past within this Business Unit.

To drive such culture change we are looking for candidates with pioneering spirit that make data-driven decisions and take responsibility for the best outcome of their internal customers.

All while embracing a spirit of problem-solving and living their values: customer focus, integrity, respect, creativity, reliability and teamwork.

Our purpose defines why we exist: 'We pioneer sustainable aerospace for a safe and united world'.
responsabilidades chave

  • 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
competências
Bachelor's or Masters 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.

principais benefícios

  • 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.
Our client supports you to work, connect and collaborate more easily and flexibly. Wherever possible, they foster flexible working arrangements to stimulate innovative thinking.
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