Data Science Intern
Amman, Amman Governorate, Jordan
Applications have closed
ProgressSoft
ProgressSoft is a real-time payment and financial solutions provider serving banks, central banks, and payment service providers since 1989.We are looking to recruit a Data Scientist intern who will receive a training in the field of Machine Learning (ML) up to 3 Months to help us extract value from data. The intern will work in all processes from data collection, cleaning, and preprocessing, to training models and deploying them to production. our interns will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field.
Responsibilities
- Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.
- Research and implement appropriate ML algorithms and tools.
- Select appropriate datasets and data representation methods.
- Define the preprocessing or feature engineering to be done on a given dataset.
- Define data augmentation pipelines.
- Run machine learning tests and experiments.
- Perform statistical analysis and fine-tuning using test results.
- Train and retrain systems when necessary.
- Extend existing ML libraries and frameworks.
Requirements
- BSc in Computer Science, Mathematics or similar field.
- Understand data structures, data modeling and software architecture.
- Understand necessary concepts in calculus, linear algebra, probability & statistics, algorithms and software development.
- Ability to write robust code in Python. C# and C++ is a plus.
- Familiarity with machine learning frameworks (like Tensorflow or PyTorch) and libraries (like scikit-learn, NumPy, pandas and OpenCV).
- Knowledge in imaging processing and computer vision algorithms.
- Excellent communication skills.
- Ability to work in a team.
- Excellent analytical and problem-solving skills.
- Familiarity with Linux.
Tags: Architecture Computer Science Computer Vision Engineering Feature engineering Linear algebra Linux Machine Learning Mathematics NumPy OpenCV Pandas Pipelines Python PyTorch Research Scikit-learn Statistics TensorFlow
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