לוח משרות דרושים בשפיים, לחיפוש זה נמצאו 31 משרות, מתוכן 12 בלוח החם חינם!

Required Professional Services Engineer.
As a Professional Services Engineer, you are responsible to plan and execute product deployments and partner integrations by leading efforts both internally and externally, with an emphasis on maximizing customers' gained value and overall trust and satisfaction solutions.
To collect, convey and follow up on customers' feedback in order to constantly improve offering.
To provide quick and helpful support for customers.
You will identify and set product strategy, oversee the product management process day-to-day, understand complex clinical software and its applicability to markets, and you will inspire teams to execute towards vision and goals.
You will work closely with Engineering & Business teams and manage cross functional and global teams.
You will serve as the internal and external evangelist for your product.

Required SENIOR DEVOPS ENGINEER.
Manage the data production environment - where we store all our data and train our algorithms: fully containerized environment, with PB+ on hybrid storage (Private and Public cloud), tens of GPUs, thousands of cores, many DBs and more...
Shorten time from Dev. to Production - help building and maintaining high-performance, fault-tolerant, scalable dev-test-deploy processes and workflows and turn every commit into a fully tested & packaged app and with one click deploy to production by implementing CI/CD practices
Scale our Machine learning research (ResearchOps) - maximize our capacity to run experiments and train on huge amounts of data, while keeping all algorithms results traceable in dashboards.
Create robust production environments - Develop and integrate tools to improve our site reliability and help making our environment scalable, our apps and systems highly available, our provisioning self-service and the data read/write blazing fast with.
Create a feedback loop and adopt a proactive approach-
Full stack Monitoring, logging, alerting and other practices and tooling, both on cloud and on premise.

Required SENIOR DATA ENGINEER.
Develop, maintain and operate complex data pipelines.
Build tools to monitor and alert on data quality and availability.
Design and develop tools and automations that expose the data to the rest of the company - from researches to the scalable automatic process which train machine learning models.

Looking for a soul player to join its QA & Automation team in the RnD department.
We are looking for a talented person, who breathes, thinks and talks QUALITY.
As a medical company, we are committed to establishing solid quality practices, Which will allow us to meet regulatory requirements, and deliver safe and effective products.
Our tech stack includes development of automation infrastructure and tests in Python, CI and CD, micro services ecosystem, cloud (AWS), Docker and Kubernetes, and other exciting technologies.
If you are interested to take part in developing products which saves lives, improve Health care efficiency and make a real change in the world, while using cutting edge technologies, working alongside talented Engineers and doing great things together, you belong with us.
If you are:
Curious about AI and deep learning.
Passionate about quality and automation.
Comfortable around modern technical stacks - and a fast learner.
We want to talk to you!

Required DEEP LEARNING ALGORITHM RESEARCHER.
Research, design and develop deep learning and computer vision algorithms to detect a wide variety of medical conditions from image and textual data.
Work with a multi-disciplinary team of medical doctors, engineers, and designers to deliver an end-to-end product: from the idea phase, through collecting and assessing the data, exploring algorithmic approaches, developing, testing, validating and integrating the algorithm in the production environment.
Read and implement algorithms publications in the field of deep learning and computer vision, as well as publish your own work, and contribute to the community via conferences/meetups etc.
Participate in long term research efforts, and build excellence in the field of deep learning for imaging data.
Contribute to the teams methodologies, best practices and toolset, share your work and give/receive feedback from peers in the team.

Required DATA SCIENTIST.
Research different data assets, understand their value, distribution and quality (structures, semi structured and unstructured).
Own data quality - from detecting issues to fixing those which can be fixed automatically using scripts and other tools.
Develop the internal logical data model, and co-write the code which populates the data model from raw data.
Build the training data sets on which our algorithm will train, based on a thorough understanding of the medical phenomenons in questions, as well as how algorithms learn from examples.
Analyze the effectiveness of our algorithms, visualize their results, detect blind spots using statistical/ML/heuristics.

Required CLINICAL DIRECTOR.
Provide Clinical guidance:
Provide informed and instructive clinical guidance to a multidisciplinary team across the company.
Conceptualize and initiate research with global partners aimed to prove the companys clinical and financial value in healthcare systems.
Manage and grow the Clinical team
Thought leadership:
Demonstrate strong and growing expertise at the interface of medical imaging and machine learning.
Collaborate with and empower research partners.

Required PROFESSIONAL SERVICES ENGINEER.
Own customers deployment and integration projects end-to-end.
Translating business needs and timelines into clear defined action items.
Represent as the primary point of contact for different functions inside the customers organizations.
Design and execute technical plans to remotely deploy Zebras products.
Work closely with radiologists, IT personal and BD managers to achieve collective goals under a clearly defined timeline.
Collaborate with product owners to transfer knowledge and customers requirements across the company.
Provide tactical directions for ongoing development efforts.
Troubleshoot customer issues, providing quick and practical solutions.
Troubleshoot Zebras products and find applicable workarounds.
Strong familiarity with Zebras analytics platform and algorithms.
Provide pre-sales and post-sales technical assistance.
Tier 1 support.