Senior Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming.
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.
Designing and developing machine learning and deep learning systems.
Running machine learning tests and experiments.
implementing appropriate ML algorithms.
+3 years Proven experience as a Machine Learning Engineer or similar role.
Understanding of data structures, data modeling and software architecture.
Deep knowledge of math, probability, statistics and algorithms.
Ability to write robust code in Python is a must.
C++, R are highly preferred
Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
Excellent communication skills.
Ability to work in a team
Outstanding analytical and problem-solving skills
BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus
Drug Design/Discovery or Computational Chemistry or Chem-informatics or NLP is preferred.
Flexibility to travel when needed (mainly to saudi arabia)
أخبر أصدقاءك عن الفرصة.
كن على اطلاع دائم بأحدث التقنيات وكيفية استخدامها من موظفوينا ذوى الخبرة لحياتك المهنية.
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