Frontend Engineer/ML Engineer/Android Developer | Communico AI | IT Jobs in Saudi Arabia 2024
Job Description
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Communico AI – IT Jobs in Saudi Arabia 2024 Job Details:
We are pleased to provide detailed information about the Frontend Engineer/ML Engineer/Android Developer position available in 2024 at Communico AI. Our goal is to present this information clearly and in an easy-to-understand way so that you can easily find what you are looking for. If you are considering other career opportunities in government, banking, the private sector, military, NGOs, or other sales roles, we invite you to explore our specialized categories.
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| Code: | NT57K 281 |
| Employer: | Communico AI |
| Post Name: | Frontend Engineer/ML Engineer/Android Developer |
| Job Location: | Abroad |
| No. of Vacancies: | 03 |
| Job Type: | Full time |
| Job Category: | Social Media Collected Jobs |
| Gender: | Male/Female Both |
| Age Limitation : | — |
| Educational Qualifications: | — |
| Experience Requirements: | 5 Years |
| Salary: | — |
| Apply Procedure: | Send your CV to the e-mail mentioned in the picture |
| Application Deadline: | 10-08-2024 |
Apply Procedure:
Send your CV to the e-mail address mentioned in the picture.
What is ML Engineer? What are the responsibilities of this position? What requirements are needed to get this job? and What is the benefit of this position in career?
An ML (Machine Learning) Engineer is a specialized software engineer responsible for designing, developing, and implementing machine learning models and systems. They work at the intersection of data science and software engineering, using algorithms and statistical methods to create systems that can learn from and make predictions based on data. ML Engineers are pivotal in leveraging artificial intelligence to solve complex problems across various industries, such as healthcare, finance, and technology.
The primary responsibilities of an ML Engineer include understanding and cleaning large datasets, selecting and implementing appropriate machine learning algorithms, and training models to ensure high accuracy and performance. They also collaborate with data scientists to interpret data patterns and insights and work with software engineers to integrate machine learning models into existing applications or systems. Additionally, ML Engineers continuously monitor and fine-tune models to maintain and improve their efficiency.
To become an ML Engineer, one typically needs a bachelor’s or master’s degree in computer science, data science, or a related field. Proficiency in programming languages such as Python, R, or Java, as well as experience with machine learning frameworks like TensorFlow or PyTorch, is essential. Strong analytical and problem-solving skills, along with a deep understanding of algorithms and data structures, are also crucial.
A career as an ML Engineer offers numerous benefits, including high demand and competitive salaries due to the growing importance of AI in various sectors. This position provides opportunities for innovation and impact, as ML Engineers are at the forefront of technological advancements. As experience grows, there are opportunities to advance to roles such as Senior ML Engineer or AI Research Scientist, making it a highly rewarding career path.
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