Responsibilities
- Assist in building and enhancing machine learning models for various applications.
- Work with datasets, performing cleaning, preprocessing, and transformation for training models.
- Implement state-of-the-art deep learning algorithms for solving Computer Vision problems.
- Collaborate with senior engineers and data scientists to optimize model performance and deploy models as endpoints or batch jobs.
- Conduct experiments and benchmark models using open-source datasets and Airbus-specific data.
- Create data visualizations and reports to communicate insights effectively.
- Contribute to developing machine learning pipelines with MLOps capabilities like experiment tracking and model/data versioning.
Required Skills
Python, TensorFlow, Keras, PyTorch, scikit-learn, Machine Learning Algorithms, Computer Vision, Miniforge, VSCode, Git, SQL, AWS, Azure, Google Cloud, Docker, Kubernetes
Preferred Skills
- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.
- Exposure to DevOps basics (e.g., using Docker, Kubernetes).
What We Offer
- Real-world experience working on machine learning projects.
- Mentorship from experienced engineers and data scientists.
- Access to cutting-edge machine learning tools and technologies.
- Collaborative and inclusive work environment.
- Opportunity to grow your career in the tech industry.
Additional Information
Airbus values diversity and is committed to creating an inclusive work environment. We welcome applications from all social and cultural backgrounds, genders, and abilities. Flexible working arrangements are encouraged to stimulate innovative thinking.
Education Requirement: Pursuing a degree in Computer Science, Data Science, Mathematics, Engineering, or related fields.
