Data Scientist-machine Learning Engineer -hybrid Work Model jobs in Israel
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היכרות וניסיון בעולמות התקשורת, לרבות פרוטוקולי תקשורת BGP) WAN) ומודל שבע השכבות- חובה. היכרות עם ציודי סיסקו וג'וניפר - ברמת קינפוג, שירות - חובה. שליטה גבוהה בשפה האנגלית כתיבה ודיבור...
High-growth: Over the past six years, we’ve consistently achieved milestones that take other companies a decade or more. During this time, we’ve significantly grown our employee base, expanded our customer...
High-growth: Over the past six years, we’ve consistently achieved milestones that take other companies a decade or more. During this time, we’ve significantly grown our employee base, expanded our customer...
High-growth: Over the past six years, we’ve consistently achieved milestones that take other companies a decade or more. During this time, we’ve significantly grown our employee base, expanded our customer...
Keeping production stable and working, having a dedicated team as a first line of support. Improvement of existing CI/CD processes based on the feedback from product and infra teams. Improving...
High-growth: Over the past six years, we’ve consistently achieved milestones that take other companies a decade or more. During this time, we’ve significantly grown our employee base, expanded our customer...
היכרות וניסיון בעולמות התקשורת, לרבות פרוטוקולי תקשורת BGP) WAN) ומודל שבע השכבות- חובה. היכרות עם ציודי סיסקו וג'וניפר - ברמת קינפוג, שירות - חובה. שליטה גבוהה בשפה האנגלית כתיבה ודיבור...
Data scientists-machine learning engineers play an indispensable role in the Israeli tech industry. They design, develop and maintain highly technical, state-of-the-art systems that facilitate the transfer of data from its source to an end system.
At Expoint, we understand the pivotal role of these professionals in our knowledge economy, and are looking for talented candidates with the perfect mix of data science and machine learning engineering expertise.
The successful candidate for this hybrid role must demonstrate an understanding of the advanced associative principles that unlock new insights from data. This knowledge is necessary to develop and engineer AI platforms capable of iteratively learning from data. In addition to experience in statistical models and analysis, the ideal candidate must be able to articulate ideas into clear, effective software prototypes to demonstrate the potential of their models.
In addition to architectural design, a data scientist-machine learning engineer is responsible for validating data and finetuning models. This is a critical task that requires a comprehensive knowledge of cloud services, such as AWS and GCP, with the capacity to automate the deployment of models and manage large data sets.
At Expoint, we seek professionals who understand the fundamentals of machine learning and possess the patience and drive to turn data into meaning. As such, we invite any candidates with the right combination of technical and problem solving skills to apply. Join us and help create the future of the tech industry – one data-driven solution at a time.