Posted:2 weeks ago|
Platform:
Work from Office
Full Time
We are looking for a Machine Learning (ML) Expert to help us create ML/artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics, Data Science and programming. Your ultimate goal will be to shape and build efficient self-learning applications. 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 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. 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. Bachelor s in computer science, Mathematics or similar field; master s degree is a plus. Disclaimer This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Fareportal reserves the right to change the job duties, responsibilities, expectations or requirements posted here at any time at the Company s sole discretion, with or without notice.
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