Responsibilities·

Designing and developing machine learning and deep learning systems.·

Running machine learning tests and experiments.·

Implementing appropriate ML algorithms.·

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.

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.

Requirements·

Lead and managed a team of at least 5.·

Proven experience in leading the Machine Learning or Deep Learning team.·

Experience in Machine learning using python as programing language.·

Understanding of data structures, data modeling and software architecture.·

Deep knowledge of math, probability, statistics and algorithms.·

Ability to write robust code in Python, Java and R.·

Familiarity with machine learning frameworks (like Keras or PyTorch) and common Python·

packages such as Numpy, Pandas, Scikit-learn, Tensorflow. Very conversant with lists,·

dictionaries and other data structures in Python.·

Hands on experience in OpenCV, YOLO v3 for Object detection.·

Excellent communication skills.·

Ability to work in a team.·

Outstanding analytical and problem-solving skills.·

BE in Computer Science / Electronics, Bsc in Mathematics or similar field.


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