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As a Data Scientist, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models to solve real-world problems and apply them to key risk department initiatives such as predictive spam detection, performance forecasting, and identifying bad actors by using machine learning models.

Connecting people across the world is a complex problem with many machine-learning applications. The purpose of this role is to implement models and algorithms to solve complex business problems in risk & fraud domains. Successful outcomes will significantly impact our hundreds of millions of daily active users around the globe.

Responsibilities:
Work with management and partner teams to design and implement solutions for given objectives.
Commitment to success metrics, ensuring low FP, and accurately measuring the impact and model performance.
Lead technical efforts to improve the performance of our Risk & Fraud models and propose initiatives in that domain to shape our long-term risk-mitigation vision.
Autonomously find solutions to complex data problems and understand the data generation process and the challenges with the data.
Leverage the extensive data received from our application to enhance model performance and accuracy.

As a senior manager, you are expected to create an alignment across different divisions, focus on strategic business KPIs and lead other managers to collaborate and perform shared goals. Successful outcomes in this role will significantly impact the business.

Responsibilities:
Lead the development and optimization of spam and fraud detection systems using machine learning and rule-based engines.
Work closely with management, product, engineering, compliance, legal, and security teams to align, present, and implement end-to-end fraud solutions.
Ensure adherence to KYC, AML, and other financial regulations while managing fraud risks.
Leverage the extensive data received from our application to enhance model performance and accuracy.

As a Senior Big Data Engineer on our BI team, youll build and scale the data infrastructure that powers our business insights. Youll design and implement robust data pipelines to process billions of daily records, leveraging cutting-edge cloud technologies and visualization platforms to transform data into actionable intelligence.

If youre passionate about data engineering and driving business growth through insights, wed love to hear from you!

Responsibilities:
Design, Build, and operate scalable infrastructure for optimal data extraction, transformation, and loading from a wide variety of data sources, utilizing SQL, cloud migration tools, and Big Data technologies.
Work with a variety of programming languages, systems, frameworks, and cloud technologies, including Python, DBT, Airflow, AWS, Linux, Spark, and more.
Collaborate with customers and internal stakeholders to resolve data-related technical issues and support their data infrastructure and business needs.
Implement data validation, monitoring, and governance practices to ensure data accuracy, consistency, and security.

As a Senior Data Scientist, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models in the domains of dating, moderation and content segmentation and apply them to tasks such as recommendation systems and analytics at a high scale.

Responsibilities:
Work with management and partner teams to design and implement solutions in recommender systems for given objectives.
Lead technical efforts to improve the performance of deep learning models and propose initiatives to impact company goals directly.
Autonomously find solutions to complex problems in social network recommendations and understand the data generation process and challenges with the data.
Analyze and leverage the extensive data received from our application to enhance model performance and accuracy.

we are a leading the revolution of wireless mission critical communications as part of Industry 4.0.
We are addressing the true need for wireless communication on the factory floor that cannot be addressed today by existing wireless networks.
We are an Israeli startup, backed by notable investors and strategic partners, that is always in search of talented and driven team players who are up for the challenge and wish to be impactful and influential.
We are looking for a talented Firmware Engineer to play a central role in our Research and Development group. As a FW Engineer you will address all layers of communication from physical to Application layers, overcoming complex and diverse challenges.
Responsibilities:
Design, implement and debug wireless communication protocols and various applications for industrial projects.
Closely work with Hardware, Software and Customer Service teams.

For an innovative start-up company that develops revolutionary 5G private network software solution, were looking for a technical enthusiastic senior software engineer experience with Linux based real time applications, Kernel optimizations, virtualization and SRIOV networking as well as Kubernetes and containers run time environments. In this position, you will define the technologies and architecture for the product and lead the implementation and field testing and deployments.

Our company is a leading SaaS marketing messaging platform offering data-driven solutions.
Established 12 years ago, company serves hundreds of customers worldwide and delivers billions of emails per month.
Our company is looking for an experienced, skilled, and driven person to lead retention and onboarding operations in the company.
Were headquartered in Tel Aviv.
Were getting a lot of organic leads, as well as referrals from ESPs, sending software & other third-party deliverability entities.
We are now looking for a new addition to our consultant team to support the growth of the US market.
Job description:
You will be assigned the role of Consultant Expert in deliverability.
It means that you will be asked to carry all the tasks associated with:
Conducting audits on existing infrastructure.
Assist in setting up new infrastructure with optimal deliverability.
Implementing recommendations to improve the deliverability.
Long term support to maintain deliverability and support our clients in their endeavours.
You will be regularly meeting with your clients teams to advise them on strategy adjustments, and you will be responsible for following up on tasks & items that need to be done.
Personality characteristics:
First of all, our team has a lot of people from different, so it goes without saying that were looking for open-minded personalities that are eager to work with a team of experts in their industry, provide us with your knowledge and learn from ours as well.
You will also be working with CEOs, sales and Marketing directors, so your communication skills must be top-notch; everyones time is precious (including yours).
Lastly, the issue you will be facing from an email deliverability standpoint can be very intricate.
You must be someone that cant stop until he gets the answer; its a quality valued by many of our clients.
Responsibilities:
Be the main advocate for best deliverability practices.
Provide consultations to clients to improve their deliverability.
Manage and monitor MTA IP for blocks and reputation issues.
Analyse MTA logs with a focus on bounces, clicks, and open rates.
Liaise with ISPs to resolve deliverability issues concerning Dengage clients.
Establish strategic relationships with major ISPs, email filtering companies, and blacklist organizations.
Establish KPIs to measure email system efficacy and drive measurable improvement.

As SW Engineer you will participate in software development of a state-of-the-art medical robot, in a fast growing and dynamic environment.

Your day-to-day will include all stages of software development lifecycle requirements definition, design, implementation, integration, testing and maintenance.

Main Responsibilities:
Participate in the full development cycle specification, design, deployment and maintenance of a wide variety of SW modules (these include UI/UX, 2D and 3D graphics, Robot communication protocols, application services and business logic and more.
Provide ongoing maintenance, support and enhancements in existing systems and platforms.
Collaborate cross-functionally with data scientists, business users, project managers and other engineers to achieve elegant solutions.
Provide recommendations for continuous improvement.
Work alongside other engineers on the team to elevate technology and consistently apply best practices.
Document processes and maintaining software development records, following the software development lifecycle.
Maintain and improving existing codebases and peer review code changes.

Main Responsibilities:
Participate in the entire development cycle specification, design, deployment, and maintenance of various SW modules (these include UI/UX, 2D and 3D graphics, Robot communication protocols, application services and business logic, and more).
Act as a Scrum master of the SW and V&V team. Facilitate the complete development process of the group. Resolve impediments and conduct all Scrum ceremonies.
Collaborate cross-functionally with data scientists, business users, project managers, and other engineers to achieve elegant solutions, improve technology, and consistently apply best practices.
Actively contribute to the continuous improvement of products and processes.
Document processes and maintain software development records following the software development lifecycle.

Main Responsibilities:
Manage, planning and execution of components level and E2E system tests with documented test results.
Participate in the verification and validation testing of the current and future products.
Ownership of designing, planning, and writing verification and validation testing documentation for existing and future products/features/modules, according to requirements.
Provide effort and time estimations of testing process for existing and future products/features/modules.
Lead the maintenance and definition of SW life-cycle related tasks including documentation and other regulation related issues.
Collaborate with Development, Applications, Project Management and Customer Support team members throughout the lifecycle of a project/product.
Assist other testing engineers with testing assignments and/or training.
Participate in customer and field issues support investigation.

We're looking for an applied deep learning researcher with strong and proven capabilities of building and deploying deep learning algorithms in the computer vision domain.
The AI team is building deep neural networks and computer vision algorithms for our smart-cart solution. Including identification of which product was inserted into the cart from a set of up to hundreds of thousands of different products in stores around the world.
The team includes Algorithm researchers and Data operations who together build a scalable training-pipeline, capable of training on millions of images for multiple tasks.
About The Role:
Own the full development cycle from researching a problem, defining the required dataset, implementing an efficient model, deploying it to production, and improving it upon real-world results.
You will work on computer-vision problems such as object detection, fine-grained classification, computational geometry, localization, tracking, and more.
Use, adapt and improve state-of-the-art implementations and adjust them to various project needs.

We are looking for a passionate Computer Vision Software Team Leader who is excited to create, shape, and influence our products and company vision. As a Team Leader, youll deliver scalable, high-quality infrastructure that integrates AI models with complex application needs.
You will build fast, reliable, and efficient solutions on edge devices, as well as machine learning cloud-based systems and pipelines.
You will tackle technological challenges in performance and data scale, and uphold high standards for code quality and architecture.
Youll need both low-level and high-level expertise to address performance and AI challenges, while delivering robust features and infrastructure. You will continuously improve development processes, adopt new technologies, and help shape the future of retail through world-class AI solutions.
About The Role:
Lead the teams day-to-day activities, effectively managing priorities and navigating technical and organizational challenges.
Plan and coordinate work based on business goals estimate effort, set realistic timelines, and ensure timely delivery of high-quality results.
Design, develop, and deliver the next generation of features for our AI-driven solutions.
Conduct code and design reviews, evaluate implementations, and provide clear, constructive technical feedback.
Build and grow a high-performing team recruit, coach, mentor, and empower engineers to reach their full potential.
Collaborate cross-functionally with other teams to define and deliver features and initiatives that span across departments.
Foster a strong engineering culture by promoting best practices, high standards, and continuous improvement.