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The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with Microsofts most strategic Healthcare and Life Sciences customers who are looking to leverage the latest technologies to address their toughest challenges. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform. In this role, you will be working with data scientists, program managers and engineers from your team and our customers teams to apply your skills, perspectives, and creativity to grow as engineers and help solve our customers toughest challenges.

We are looking for a Data Scientist with expertise in developing statistical techniques to analyze data and find patterns. You will work cross-functionally with several teams including data scientists, engineering crews, product teams, and program management to deploy business solutions for Microsoft clients in the Healthcare and Life Sciences sector.

Azure SRE teams strive to improve reliability fundamentals via software engineering, preferring long-lasting platform improvements delivered as engineering projects over repetitive manual operations. We contribute to the product fundamentals and architecture, share knowledge, and code, and prefer reuse over re-invention, always looking for ways to make what we build useful to multiple teams and products.

We are not looking for people who know it all, we are looking for people who want to learn it all. We value the input of people who arent afraid to learn all the time and embrace mistakes as they continuously improve both our services and themselves. If you are excited by this type of challenge and you love to work in groups of people who are similarly excited: come join us!

Responsibilities:
Partner across multiple product groups to apply subject-matter expertise in distributed systems design practices, interactions between cloud technology layers and components, basic dependencies at scale, and the code that defines infrastructures.
Lead by example and mentors others to produce extensible and maintainable code used across products.
Develop and evangelize insights, best practices, and standards that can be applied to improve system, platform, and/or product development and operations across the business.
Drive continuous improvements in the architecture, code, features, operations and comprehensive use scenarios of products by leveraging end-to-end technical expertise.
Make improvements to the product fundamentals and architecture, share knowledge and code, always looking for ways to make what we build useful to multiple teams and products. 
Demonstrates end-to-end expertise in distributed systems design, interactions between cloud technology layers.
Provide technical leadership in test maturity reviews, static analysis reviews, meetings, on-call rotations, and incident responses throughout product development and operations cycles.
Provides deep business and technical expertise as required to resolve major incidents.

We are looking for an Applied Scientist to embark on our journey to build a Prime Video Sports tech team in Israel from ground up. Our team will focus on developing products to allow for personalizing the customers experience and providing them real-time insights and revolutionary experiences using Computer Vision (CV) and Machine Learning (ML). You will get a chance to work on greenfield, cutting-edge and large-scale engineering and science projects, and a rare opportunity to be one of the founders of the Israel Prime Video Sports tech team in Israel.

Key job responsibilities:
We are looking for an Applied Scientist with domain expertise in Computer Vision or Recommendation Systems to lead development of new algorithms and E2E solutions. You will be part of a team of applied scientists and software development engineers responsible for research, design, development and deployment of algorithms into production pipelines. As a technologist, you will also drive publications of original work in top-tier conferences in Computer Vision and Machine Learning. You will be expected to deal with ambiguity! We're looking for someone with outstanding analytical abilities and someone comfortable working with cross-functional teams and systems. You must be a self-starter and be able to learn on the go.

We are looking for a Senior Applied Scientist to embark on our journey to build a Prime Video Sports tech team in Israel from ground up. Our team will focus on developing products to allow for personalizing the customers experience and providing them real-time insights and revolutionary experiences using Computer Vision (CV) and Machine Learning (ML). You will get a chance to work on greenfield, cutting-edge and large-scale engineering and science projects, and a rare opportunity to be one of the founders of the Israel Prime Video Sports tech team in Israel.

Key job responsibilities:
We are looking for a Senior Applied Scientist with domain expertise in Computer Vision or Recommendation Systems to lead development of new algorithms and E2E solutions. You will be part of a team of applied scientists and software development engineers responsible for research, design, development and deployment of algorithms into production pipelines. As a technologist, you will also drive publications of original work in top-tier conferences in Computer Vision and Machine Learning. You will be expected to deal with ambiguity! We're looking for someone with outstanding analytical abilities and someone comfortable working with cross-functional teams and systems. You must be a self-starter and be able to learn on the go.

We are looking for Cloud Engineer to join our growing Infrastructure cloud team in Tel Aviv and to take part in our effort to improve our product, productivity, security and the ability to scale.

We are seeking an experienced Senior Android Engineer to take part in developing our suite of Android applications. The ideal candidate
has a strong background of shipping Android apps end-to-end, using modern technologies and frameworks. You will play a key role in the
entire application lifecycle, from concept stage through to delivery and post-launch support

Responsibilities:
Develop and maintain high-quality Android applications from concept to launch and beyond.
Collaborate with cross-functional teams to define, design, and ship new features.
Ensure robust, secure, efficient, and maintainable code; including code reviews and adhering to best practices.
Stay up-to-date with new technology trends, applications, and protocols in mobile development.
Implement modern architectural patterns, particularly MVVM, to ensure a scalable, maintainable, and testable applications.

Who we are: KAZUAR is a cyber-security startup that offers a new game-changing solution for data and access security. Our products create self-contained, cryptographically isolated workspaces which provide cyber protection against the most sophisticated strategic risks to businesses and organizations. Our team of proactive, self-motivated, and diligent people with a creative and resourceful attitude who works well independently and as a team is expanding. Role description: We are looking for an experienced and talented embedded Linux software developer to join our team and help us deliver innovative solutions for embedded systems. You will be responsible for developing, testing, and optimizing the application and infrastructure code for our embedded system and integrating it with other components of our solution. You will also be involved in porting our code to new hardware platforms and ensuring the quality and security of our system. You will work closely with other developers, engineers, and product managers to meet the requirements and expectations of our customers:

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of machine learning, GenAI, and computer vision within the automotive sector. With over $200M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
We are hiring a highly skilled and motivated Generative AI Researcher to join our talented research team. As a Generative AI Researcher, you will be responsible for developing and implementing cutting-edge multi-modality LLMs to solve complex problems and drive innovation across our organization. You will work closely with data scientists, software engineers, and product managers to design, build, and deploy genAI-powered solutions that enhance our products and services.
A day in the life and how you’ll make an impact: Designing, developing, and implementing multi-modality generative AI models and algorithms utilizing state-of-the-art techniques
* Collaborating with cross-functional teams to define genAI project requirements and objectives, ensuring alignment with overall business goals.
* Stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.
* Publish in high profile venues such as Nature, Science, CVPR, NeurIPS, ICML or similar
* Optimizing existing generative AI models for improved performance, scalability, and efficiency.
* Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.
* Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.
* Contributing to the establishment of best practices and standards for generative AI development within the organization
* Providing technical mentorship and guidance to junior team members

inManage, a software development company, specializing in sophisticated e-commerce solutions, is looking for a motivated, talented and skillful Automation Engineer to join our growing team. Among our customers are huge brands such as Domino's Pizza, McDonald's, Azrieli, Aroma Israel, Shlomo Group, Meshulam, Htzone, NewDeli and more. This is a great opportunity to show your talent, work with amazing people, advanced technologies and big customers.

Responsibilities:

* Plan and write elaborated test plan documents.
* Design and implement automated tests using Python
* Work closely with various stakeholders (Project Managers, developers, etc) to understand requirements and priorities.

Qualifications:

* B.sc in Computer Science - must
* knowledge of Python or PHP - An advantage
* Experience in QA software testing or QA automation tools - An advantage
* Strong bug detection abilities and good analysis to root cause detection.

We are hiring a senior data scientist to join Nucleai’s data science team. A cancer patient wants to know that their diagnosis and treatment are determined with the greatest precision and preferably using the most advanced technology. At Nucleai, we bring cancer patients cutting-edge AI-based technology by improving biopsy interpretation with machine learning and creating novel precision medicine technology. Come join our team of experienced AI engineers and world-renowned clinicians, and help us make a difference. At Nucleai, we believe that talents are our most valued asset, and as such, hiring the right people is one of our most strategic missions.
Position Overview The data science team provides the bottom line to our customers – which patients are the best fit for a cancer treatment and what is the chance of success. We do it by analyzing medical images and clinical data, researching spatial features, developing predictive models and applying statistical methods to evaluate the results. Responsibilities:
* Independently lead the data science perspective in any project or assignment – from data mining, through developing new algorithms, to analyzing results and providing professional insights and guidelines.
* Contribute to the team's internal codebase with high-quality code and development standards.
* Augment our knowledge and best practices, adopt relevant SOTA data science methods and practices.
* Work closely with medical doctors, product and project managers, research scientists and software developers to focus your efforts, build new capabilities and provide value to your colleagues and our customers.

an exciting Artificial Intelligence well funded startup in the heart of Tel Aviv (a short walk away from Azrieli train station). leveraging Machine Learning and Computer Vision to bring AI to optimize passenger journeys, making security screening accurate, fast and labor free.

Were looking for an experienced SW Team Lead to join our team and play a pivotal role in our journey.

Responsibilities:
Create, design and lead the implementation of ST products, in a wide tech stack: BE, FED, algo-engine
Leading a team of engineers to personal growth to achieve company goals
Being involved in architecture, design, implementation and maintenance of all software components of the Product.
Work closely with the Algorithms, QA, Data and Support teams in order to deliver the most valuable features, at the highest quality level.
Constantly maintain and strive to raise own/subordinates coding skills to allow delivering a production quality level solution.
Constantly explore and dive into new and exciting technologies and programming languages.

an exciting Artificial Intelligence well funded startup in the heart of Tel Aviv (a short walk away from Azrieli train station). leveraging Machine Learning and Computer Vision to bring AI to optimize passenger journeys, making security screening accurate, fast and labor free.

We are seeking for Automation Team Lead to lead QA manual and automation team
What you will do-
Execute and supervise all QA efforts (manual and automation)
Bringing-up the entire QA domain, including personally taking-on Manual and Automation QA efforts as well as hiring, training and leading Manual and Automation QA Engineers.
Develop, implement and execute test-plans aimed to push our code and product to the highest-quality possible
Develop automation technology. evaluate, choose and utilize test automation frameworks and tools
Participate in work planning process to determine needs in order to deliver products feature in the timely manner
Analyze formal test results in order to discover and report any defects, errors, configuration issues, etc.
Establish metrics to determine readiness, quality and operability of software, systems and products
Manage all functions of the QA team, including hiring, performance evaluation, timekeeping activities, etc.

We are looking for a Security and ML/AI Principal Researcher to work alongside product owners, designers, and technical writers within the broader Product Management Group. As a Principal Researcher, you are responsible for doing research in Cyber and ML/AI applictions to assist in refining and executing the vision of Identity Threat Detection and Response (ITDR), Cloud infrastructure Entitlement Management (CIEM), Behavioral Analytics, Secret Server and other company`s solutions, by working closely with cross functional teams in the research, planning, development, and release of new products. You will be working in a highly dynamic, fast-paced environment, interacting regularly with internal stakeholders in the development of our products.

The ideal candidate will have the tenacity, focus, and creativity to thrive in a fast-paced security startup, where initiative is expected, oversight is minimal, and where results are the only
outcome that matters.

This position is based in Tel Aviv and will require being on-site in the office two to three days per business week.

Key Responsibilities:
Research areas may include, but are not limited to the following.
Security research such as: identity threats, account takeover methods, AuthZ security, app permission mechanisms and privilege escalation paths, AuthN weaknesses, IAM mechanisms, automated provisioning abuse, configuration weaknesses, access related supplychain attacks, and protocol weaknesses and attacks on SAML, SCIM, OAuth2, OIDC, and similas. (it is unlikely but not impossible that work will include binary level exploitation / RE as well).
ML/AI applications research such as: ML/AI discovery of TTPs and anomalies, using LLMs and foundation models for security applications (may include fine tuning, RAG, and other
applications), quantifying risk, graph analysis and graph algorithms.

In this role you may also:
Help refine and articulate the product vision and strategy of selected our solutions.
Collaborate with customers, prospects, partners as well as external/internal stakeholders to understand client needs to define and validate product requirements.
Work closely with Engineering and PM teams to solve complex problems affecting our customers through research applications.

We are looking to hire a talented Software Engineer to join our System Validation and Integration group in Tel Aviv.
You will have a direct impact on our product, and you will be responsible for designing, implementing, Integrating, and debugging our products in multiple SW environments (mainly Python and C++) in the domains of ML, AI algorithms performance and computer vision.
If you are passionate about working with a large-scale SW and are excited about AI, we want to meet you!
Responsibilities:
Design and development of internal SW tools and infrastructure used for Integration, validation, and benchmarking of our products
Analyze and debug our product performance and usability.