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Do you want to be a Senior Data Engineer on an elite Data Science team? Do you want to build data solutions that power AI and Data Analytics of a global Security Product? Do you want your work to be impactful on millions of users?

Join us and become part of a winning Data Science team that builds the brain of one of our most exciting security products, our Defender for Endpoint (MDE). As cyber-attacks have become more sophisticated, MDE helps enterprises detect, investigate, and automatically disrupt advanced attacks and data breaches on their networks. Our team is responsible for developing and deploying Machine Learning (ML) models that protect organizations worldwide and owning Data Analytics systems that facilitate data-driven decisions and operational excellence.

Responsibilities:
Create and maintain robust Big Data pipelines for Analytics and ML systems.
Optimize performance of Big Data scripts and queries.
Create monitoring and reporting infrastructure.
Develop systems that facilitate Data Science activities such as Analytics and Feature Extraction.

Do you want to be a Data Scientist on an elite Data Science team? Do you want to build Data Analytics for a global Security Product? Do you want your work to be impactful on millions of users?

Join us and become part of a winning Data Science team that builds the brain of one of our most exciting security products, our Defender for Endpoint (MDE). As cyber-attacks have become more sophisticated, MDE helps enterprises detect, investigate, and automatically disrupt advanced attacks and data breaches on their networks. Our team is responsible for developing and deploying Machine Learning (ML) models that protect organizations worldwide and owning Data Analytics systems that facilitate data-driven decisions and operational excellence.

If you are a talented Data Scientist with excellent analytical, statistical, and data-visualization skills, who is passionate about applying Data Science to drive a revolutionary cyber-security product, we would like to talk to you!

Responsibilities:
Collaborate with Security experts and other stakeholders to define Business metrics.
Work with data engineers to implement these metrics over Big Data sources.
Create and maintain dashboards and visualizations.
Conduct data analysis and present insights to the leadership team and stakeholders.
Develop Anomaly Detection and monitoring solutions to ensure operation excellence of AI and other systems in MDE.

We are looking for a highly motivated and experienced Principal Data Scientist to join our team! The Education Insights team in our Education builds and operates experiences to empower and delight learners and educators for the betterment of education of millions of users worldwide.

The successful candidate will have strong engineering capabilities with high Python proficiency and a deep understanding and experience in machine learning and AI. You will work closely with cross-functional teams to create cutting edge LLM-based experiences, make decisions using data and be responsible for developing innovative solutions that drive towards the future of AI in education. We are looking for enthusiastic and creative thinkers and doers to join us in meeting the challenge of shipping AI products that meet the needs of learners in a changing world.

Responsibilities:
Adopt, contribute to, and improve the teams existing technical stack and infrastructure to build differentiated features in the Education space.
Stay up to date with AI technology, advise on how we can adapt and embrace new technologies methodologies and ideas.
Provide hands-on technical work: design, analytics/modeling and fine tuning, dataset development, code reviews, development, quality assurance.
Build relationships with partners within our company (applied) Research Teams to bring innovation to new and existing products.
Foster a culture of inclusivity and disciplined data and software engineering practices to deliver business value, guided by data.
Creating and sustaining an effective team culture is extremely important to us. We value and promote a high trust environment where we work closely and effectively with others.
We emphasize a culture of continuous learning and so having a growth mindset and passion for learning is important. You should expect that your teammates will be invested in helping make you successful and expect the same in return from you. We recognize and celebrate the uniqueness of each person on the team and leverage our diversity to create more inclusive products for our customers.

we are looking for data Engineer to work on data processing pipeline and lead our data lake and data warehouse building, to help to deliver more insights and scale our data infrastructure. You will have a chance to contribute to the company's evolving culture, bring innovative approaches and learn from your talented colleagues.
Designs and develops programs and tools to support data ingestion, curation, and provision of complex enterprise data to achieve analytics and reporting on our current technology stack Designs and builds data extracts, integrations, and transformations Provides successful deployment and provisioning of data solutions to required environments Designs and builds data architecture and applications that successfully enable speed, quality, and efficiency pipelines Interacts with cross-functional customers and development team to gather and define requirements Develops understanding of the data and builds business acumen Reviews discrepancies in requirements and resolves with stakeholders integrations are automated and have proper exception handling

Required Data Scientist
About the Opportunity:
A top player in its game and is heading for an exciting year. In this role, you will take an integral part in the creation of a new and innovative SaaS product.
If you are a talented Data Scientist that likes to solve complex problems and looking for your next challenge we want you to join our team!
What You'll Be Doing:
Research, develop, and deploy a diverse array of machine learning models that operate in real-time and at large scale, with a primary focus on preventing and analyzing fraud attacks.
Perform data mining, exploration, and analysis.
Create data visualizations, reports, dashboards, and data audits.
Leverage predictive models to optimize customer experiences that will affect millions of users worldwide.
Creating automated anomaly detection.

We are searching for an innovative and experienced Senior Big Data Engineer that will join us and be part of our big data group.
As a Senior Big Data Engineer, you will:
Lead the architecture and development of mission-critical, diverse and large-scale data pipelines over both public and on-prem cloud solutions.
Derive policies for data storage and versioning over peta-bytes scale complex storage solutions of multiple data lakes.
Design and develop smart ML infrastructure in order to build Agile ML processes (MLOps).
Work with Data Scientists to understand needs and design ML infrastructure solutions
Be a part of a collaborative heterogeneous data team which includes developers, data scientists, data engineers, MLOps and data scouts.

Our Company is seeking a talented Site Reliability Engineer to join our team in Israel.
Our SRE team is responsible for the design, creation, and maintenance of a complete multi-on-prem and cloud applications, deployment and monitoring framework, working with all major cloud providers. (AWS/Azure/GCP).
This is an amazing opportunity to work with a world-class technical team and to hold responsibility for designing, creating, and provisioning infrastructure as well as deploying and maintaining applications with a focus on infrastructure as code.
We aim to adopt the best solutions to fulfill our requirements, and you will be encouraged to bring your ideas and new thinking.
So, if you want to grow with us and work for a world leader company, Now it is the right time to join.
What Youll Do:
Site reliability engineer is what you get when you treat operations as if its a software problem.
Our mission is to protect, provide for, and progress the software and systems behind all of our company services.
Ensure high uptime and reliability of Crossixs production environment, on-prem and cloud.
Take responsibility for managing the production environment, security, change management, deployment, architecture, and tools.
Lead technical calls with business partners to explain how our applications are architected, understand requirements, and handle production problems.
Perform root cause analysis for complex failures and offer modern solutions and tools.
Utilize Grafana to develop effective dashboards that provide key insights and system performance.
Analyze performance and stability issues and create in-house automation tooling.
Work closely with DevOps, R&D, product, and integration managers to enable automated CI/CD methods.
Design, develop, and drive troubleshooting & mitigation tools as part of driving self-healing agenda.
Constantly improve the technology stack, supporting the data growth.
Working in a data-driven company with cutting-edge environments that combine on-prem and cloud technologies.

Overview
Come and be part of the team building one of our most exciting security products, our Defender for Endpoint (MDE). As cyber-attacks have become more sophisticated, MDE helps enterprises detect, investigate, and automatically disrupt advanced attacks and data breaches on their networks.  From detecting and disrupting nation state actors to huge ransomware actors in action, our research team brings deep knowledge of the attacker landscape and tradecraft to create the innovations necessary to uncover and protect against even the most well-funded attacker. 

Your job as a Principal AI Architect is to design and build AI solutions that help our customers with their security needs by using the team's security research skills. You will work with security research, applied science and engineering teams to make it easier to use AI in their work. You will keep track of the newest AI developments and use them to tackle hard security research issues.

Responsibilities:
Lead the long-term AI strategy of the team, in collaboration with the different leaders.
Collaborate with security experts to integrate their insights into the AI roadmap.
Stay up to date with the latest advancements in AI, including LLM, GNN and Anomaly Detection, and apply these to solve complex cybersecurity challenges.
Contribute actively and work together with applied scientists to test hypotheses and implement ML models.
Provide technical leadership and mentorship to the AI team.

A trailblazer in AI-powered Anti-Money Laundering (AML) solutions, offering cutting-edge technology to fintechs, banks, and regulatory bodies worldwide. Our mission is to enhance trust in financial transactions, ensuring compliant and innovative business growth.
Our technology empowers customers to expand into new markets and introduce groundbreaking products.
you'll be part of a dynamic global team committed to redefining the financial services sector through technological innovation. You will contribute to creating safer financial environments and have the opportunity to work with some of the brightest minds in AI, ML, and financial technology. We offer a collaborative, inclusive, and forward-thinking work environment where your ideas and contributions are valued and encouraged.
Join us in our mission to revolutionize the financial world, making it safer and more trustworthy for millions worldwide. Explore exciting career opportunities at where innovation meets purpose.
looking for a Data Scientist to join our innovative Data team.
As a Data Scientist, you will work on customer-facing projects that combine data science with deep knowledge and understanding of machine learning and big data technologies to create solutions for customers challenges and needs, defining and developing appropriate technical and business solutions. The Data Scientist will work closely with Product Management, Algorithm, Engineering, and Customer Success teams and lead external partners to successful implementations of the platform and solutions.
Key Responsibilities
Deliver successful deployment and Pilots
Manage and design the Customer-specific technical solution throughout the project life cycle
Technical leadership of Data Science & Engineering aspects and team members including partners
Work on various data sources and apply sophisticated feature engineering capabilities
Bring and use business knowledge
Extract insights and actionable recommendations from large volumes of data and Investigate anomalies in Big Data
Build and manage technical relationships with customers and partners
Provide product requirements input to the Product Management team
Train the customers on the system system usage and monitoring aspects

Data organization is at the heart of the telecommunications industry, helping the largest Telco operators in the world to modernize their data platforms, Our teams use the latest cloud technologies to optimally organize the data and build AI analytics solutions to provide valuable insights, create exceptional customer experience and drive significant growth.

Telco operators deal with zettabytes of data and hundreds of billions of data connections. We are leading their transformation to data-driven decisions by providing solutions and applying advanced analytics, Generative AI & machine learning.
Are you passionate about data and want to create amazing Generative AI & ML solutions and apply your Data Science and Analytics knowledge on the largest scale and the most sophisticated problems?
This is a hands-on position for a motivated and talented innovator. The Data Scientist designs and develops sophisticated machine-learning solutions and algorithms that provide insight from data.
If you are up to the challenge, join our team!


What will your job look like?
You will be a leader and source of knowledge/ subject matter experts in the Data Scientists group to design Generative AI/ML use cases and solutions.
You will be building innovative AI/ML models and POCs with clients
You will be integrating deeply with business leadership as a trusted and influential contributor to ensure maximum impact of Data Science / Generative AI /Machine Learning outputs
You will be engaged with partners and clients to develop new business and future AI/ML Use case catalogs.
You will support and showcase a long-term research agenda aimed at generating innovations to solve critical business needs and challenges
You will be working closely with internal and external groups, understand the needs, and work with the team to identify the solution using AI/ML models and use cases, working with the Pre-sales/sale on prospecting opportunities and the overall pre-sale cycle.
You will present results, including the preparation of patents and white papers and facilitating presentations during conferences.
Collaborate with our customer's business and IT teams to implement business and IT requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL)
You will hands-on working with the team and support them during the work life cycle, end-to-end flow from data research to creating the AI/ML Models and algorithms supporting the need to provide the best outcomes.
This is a full-time position.