Data Scientist-machine Learning Engineer -hybrid Work Model jobs in Israel
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Continuously improve our infrastructure to be more secure, scalable, and robust. Apply new technologies for internal and external services. Design, build, and maintain CI/CD pipelines and IaC for our infrastructure....
End-to-end management of NPI production Infrastructures supply chain, from design review to infrastructure delivery and implementation at production sites. Responsibilities of ongoing NPI production capacity management and support, risk assessment,...
Designing, building, and maintaining our automation infrastructure for our suite of products, ensuring they meet the highest standards of quality and functionality. Coaching and mentoring team members on best practices...
Leading a senior Data Platform team: setting clear objectives, unblocking execution, and raising the engineering bar. Owning SLOs, on-call, incident response, and postmortems for core data services. Designing and operating...
You will be responsible for learning, developing, and delivering new Networking features in simulation. Define, develop and maintain simulation reference model infrastructure - make test suites robust, maintainable, and easily...
Collaborate across software, hardware and architecture teams to define, plan and deliver on commitments, following all the way through the development process from design, development, chip bringup to productization. Multiple...
Take part in research, design, and development of advanced RDMA transport mechanisms and algorithms, enhancing performance, reliability, and scalability. Collaborate closely with hardware engineers, software developers, and system architects to...
Continuously improve our infrastructure to be more secure, scalable, and robust. Apply new technologies for internal and external services. Design, build, and maintain CI/CD pipelines and IaC for our infrastructure....
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.