לוח משרות דרושים בוגרי יחידות טכנולוגיות/אקדמיה בתל אביב יפו

The Edge AI group is composed builds Agentic platform designed to support complex scenarios, including RAG. In addition, the group is building Video analysis at the edge and the cloud (Azure Video Indexer) that allows customers to get insights from videos at scale. Products involve cross team collaboration between product managers, data scientists and backend / full stack Engineers



We focus on creating real value for our customers by placing AI efficiently on top of video streams at scale and building a UX that allows organizations to explore, interact with their data and integrate the solution into their own systems.


Individuals in the team get a chance to impact the industry working across various areas, our data science team leads research and implementation of AI components, full stack developers work on cloud and edge technologies from the design until features arrive to the customer. Being at the center of innovation provides great opportunities for engineering excellence in an amazing work environment in a team that will allow you to develop, grow and contribute.
Responsibilities
As a developer, your code will reach Azure resources and extensions, and you will use various technology stacks with the latest tools and methodologies. You will be expected to break down problems, build execution plan, have open mind and eventually be accountable to your code all the way to production. Working in a multi-disciplinary team will require great communication skills and at the heart of it all, alignment with Microsoft values.

Cyber-attacks are increasing in volume and sophistication, evading traditional defenses, and posing a growing risk to enterprises from outside criminal organizations and malicious insiders in the organization. The Microsoft 365 Defender suite leverages the Microsoft 365 security portfolio - including Microsoft Defender for Endpoint, Office, Cloud Apps and Identity, as well as Microsoft Sentinel and XDR - to automatically analyze threat data across domains, building a complete picture of each attack in a single dashboard to monitor, hunt, detect and remediate threats. With this breadth and depth of clarity defenders can now focus on critical threats and hunt for sophisticated breaches, trusting that the powerful automation in Microsoft's security products detects and stops attacks anywhere in the cyber-attack kill chains and returns the organization to a secure state. Join our team of engineers to develop cutting edge detection and remediation systems. Be a part of defining and shaping the next big leap in the product's journey. We use state of the art cloud technologies, big data solutions and AI at hyper scale and modern UX platform to deliver the highest value for our customers. If you're passionate about cyber security like us, and if you live and love data, want to make the world a safer place for millions of customers, love creating products for and with customers and are a team player - come join us. Our team values diversity of all types in candidates for our roles and we strive to hire people with different experiences and perspectives into our team. To that end, we know that no candidate has every desired skill and experience, but all of us together makes our team strong.
Responsibilities
As an engineer on our team, you will be working on cutting edge technologies to deliver exciting new features that impact and protect millions of users, with cross-team and cross-discipline collaboration (engineering, PM, design, research and data science). You will work closely with experienced engineers and be part of an agile and fast-moving development team - and will have a role in mentoring your more junior peers and helping them succeed. You will be expected to apply a critical view of our infrastructure, technologies and development process, proactively pushing to improve the product and our group. Our group is consistent from both feature teams and platform teams and we are looking for candidate with passion in either or both.

Work on cutting-edge technologies that make a powerful impact on over 200 million users
Tackle tough problems and find creative ways to solve them
Write (a lot) of high-quality, functional Javascript. Additionally, youll work with Git, Node.js, React, Redux, MobX and ES6+
Push your code to millions of users every day
Invest your time in personal growth, as part of the Frontend Guild at Wix
Manage and complete tasks using TDD, continuous integration and modern development processes

As an AI Infrastructure Engineer, youll build AI tools for developers and other cross-functional teams across Wix, with the goal of increasing velocity company-wide. The team plays a key role in shaping and delivering Wixs AI vision. In your day-to-day, you will:

Be part of a highly agile and professional team that works in the unknown fast-changing AI landscape to deliver high quality and impactful solutions
Identify areas where AI can make an impact and address them by creating cutting-edge solutions
Integrate and adapt existing tools (such as n8n) to Wixs needs
Work on strategic projects, innovate, experiment, fail and succeed in short intervals, on a delivery and quality-oriented team
Implement and own solutions end to end, from ideation to production

Join our Partners Data Team as a Senior Data Engineer and take on the challenge of designing, implementing, and maintaining critical data pipelines. You'll play a key role in ensuring data integrity and accessibility, enabling our teams to drive strategy and optimize partner experiences. In your day-to-day, you will:

Design and implement data pipelines, ensuring the seamless flow of information into our data warehouse

Develop scalable solutions to address data gaps and process design needs

Monitor data pipeline performance, troubleshoot issues, and guarantee data infrastructure availability

Collaborate with analysts and product managers to align data models with business priorities

Engage with a diverse group of stakeholders, including data engineers, analysts, and data scientists, to support data-driven decision-making