Internship Details
Skills And Tools:
Internship Description
-Designing and developing machine learning and deep learning systems.
-Running machine learning tests and experiments.
-Implementing appropriate ML algorithms.
-Produce project outcomes and isolate the issues that need to be resolved, in order to make programs more effective.
-Study and transform data science prototypes.
-Design machine learning systems.
-Research and implement appropriate ML algorithms and tools.
-Develop machine learning applications according to requirements.
-Collaborate with data engineers to build data and model pipelines.
-Manage the infrastructure and data pipelines needed to bring code to production.
-Select appropriate datasets and data representation methods.
-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.
-Keep abreast of developments in the field.
Internship Requirements
-Senior Students are most welcome to apply(2022 graduates).
-Deep knowledge of maths, probability, statistics, and algorithms.
-Ability to write robust code in Python.
-Familiarity with version control practices (e.g. git and git workflows).
-Familiarity with Linux.
-Familiarity in dealing with cloud platforms, AWS is preferred.
-Familiarity with machine learning frameworks (e.g. Keras, TensorFlow, or PyTorch) and libraries (e.g. scikit-learn, OpenCV, NLTK, and Spacy).
-Familiarity with Docker is a plus.
-Understanding of data structures, data modeling, and software architecture.
-Comfortableness with working from home and a fast-paced work environment.
-Excellent command of spoken and written English.
-Excellent interpersonal and communication skills.
-An academic degree in a related field is a plus, but not required.
-Ability to work in a team.
-High attention to detail.
-Outstanding analytical and problem-solving skills.
"WE ARE NOT ASKING FOR WIZARDS.
WE ARE LOOKING FOR SMART PEOPLE WHO ARE EAGER TO LEARN."
