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We are seeking for a talented AI/ML developer with strong focus on Python expertise and hands-on experience in AI/ML models to join our Data Science group.
The Data Science group plays a pivotal role in driving the execution and delivery of advanced AI and modern Machine Learning solutions, that empower impactful projects to our target sectors.
Key Responsibilities:
Take part in all development aspects, from concept to production, of AI/ML models and LLM-based features (agents development)
Stay up to date with state-of-the-art research in the field of LLM and apply relevant advancements to improve our solutions
Mentor new team members and share your expertise to strengthen the teams collective knowledge

We are seeking an Associate Generative AI Engineer to join our AI squad . This role blends hands-on engineering with exposure to system design and client-facing delivery, making it an excellent opportunity for engineers early in their career to work on real, production-grade GenAI systems.
You will design, build, and operate LLM-based and agentic systems as part of cross-functional teams, contributing to both greenfield initiatives and the evolution of existing GenAI platforms. You will develop strong foundations in system architecture, backend engineering, and cloud-based GenAI delivery while working closely with more experienced engineers.
Key Responsibilities:
GenAI Development & Implementation:
Develop end-to-end GenAI solutions from POC through production deployment
Implement backend microservices and GenAI components using Python
Contribute to the development of multi-agent systems, orchestration layers, and autonomous workflows
Integrate and optimize LLMs and GenAI APIs within larger system
Participate in evaluating and improving system performance, scalability, reliability, and cost efficiency
Client Engagement & Collaboration:
Participate in technical discussions with clients and contribute to solution design discussions
Support presentations, demos, and technical explanations for client stakeholders
Collaborate closely with project managers, full-stack developers, and automation teams to deliver end-to-end solutions
Cloud & Platform Work:
Deploy and operate GenAI systems on GCP, Azure, and/or AWS
Work with cloud-native AI services and managed platform
Contribute to monitoring, reliability, and operational stability of production environments

we are looking for an excellent Cloud Security Expert to provide advisory services to our biggest clients and help them to build and secure their cloud environments.
Major Responsibilities:
Be part of our Great and growing Cloud security team to consult, design, develop, implement, and support our customers secure cloud environments
Deliver technology-related aspects of cloud security solutions and services to client engagements
Requirements discovery, architecture, design, and implementation of technical controls and cloud security tools
Cloud environments configuration reviews and assessment
Act as technical subject matter expert and the technical focal point for clients
When working with clients abroad, collaborate with member firms teams

We are looking for a highly skilled and motivated Cloud security Team Lead to lead a team of cloud security professionals. This role focuses on designing and implementing secure cloud environments, guiding clients through cloud security strategies, and driving innovation in cloud-native security solutions.
Responsibilities:
Lead and mentor a team of cloud security experts
Design and implement secure cloud architectures across AWS, Azure, and GCP
Develop cloud security strategies, policies, and governance frameworks
Support pre-sales activities and lead technical discussions with clients
Stay up to date with evolving cloud threats, technologies, and best practices
Promote a security-first mindset in digital transformation and cloud migration projects
Educate and collaborate with clients technical and management teams (CIOs, CTOs, Architects, DevOps, Security team, etc.)

our Technology Consulting team is looking for a Cybersecurity Consultant to join our cyber department.
The Cyber Department works with a variety of clients in different fields: Government, Hi-tech, Industry, Retail, Hotels, Defense and more.
The Job Will Include:
Client Engagement: Leading, guiding and advising to clients in Israel and abroad as well as joint projects with various partners of global on cyber security projects based on methodology, regulation and standards
Technologies: Work with different aspects of cyber security in multiple fields such as IT, OT & Cloud
Security Assessments: Carrying out risk surveys including cyber, operational and supply chain risks
Advisory and Strategy Development: Developing business continuity plans (BCP) ,cyber security and maturity programs, secure architectures, policies and information security procedures
Collaboration: Leading representative and high-profile meetings with client internal senior management

We are seeking a skilled and motivated Elastic Platform Engineer to join us. As Elastic Platform Engineer, you will be responsible for the design, implementation, operation, and ongoing maintenance of Elastic stack environments.
Role Responsibilities
Ongoing operation and maintenance of enterprise Elastic environments.
Monitoring, alerting, and system management.
Integration with other cloud and platform services.
Load and performance testing.
Design and implementation of Kafka-based ingestion pipelines into Elastic.
Continuous improvement, stabilization, and optimization of the Elastic platform.

We are looking for a Data & AI Project Manager to lead the delivery of AI and Generative AI-based solutions for our clients. In this role, you will own projects end-to-end - from initial scoping and requirements definition through development, deployment, and continuous improvement.
This role is well-suited for a technically oriented project or product manager who enjoys working at the intersection of data, AI, engineering, and business, and who thrives in fast-paced, complex environments.
Responsibilities:
Lead the full lifecycle of AI and data projects, from ideation and design through implementation, deployment, and ongoing optimization.
Translate business and user needs into clear system requirements, technical specifications, and structured delivery plans.
Define project scope, priorities, milestones, and deliverables, ensuring execution on time, within scope, and within budget.
Collaborate closely with development, data, and infrastructure teams to support efficient delivery and resolve technical dependencies.
Drive alignment between technical solutions and business objectives, ensuring delivered solutions generate tangible client value.
Manage multiple stakeholders on both client and internal sides, maintaining clear communication and expectations.
Support the design of intuitive, user-centered AI solutions and workflows.
Identify risks, manage trade-offs, and proactively address challenges throughout the project lifecycle.

We are seeking a skilled and motivated Data Engineer with expertise in Elasticsearch, cloud technologies, and Kafka. As a data engineer, you will be responsible for designing, building and maintaining scalable and efficient data pipelines that will support our organization's data processing needs.
The role will entail:
Design and develop data platforms based on Elasticsearch, Databricks, and Kafka
Build and maintain data pipelines that are efficient, reliable and scalable
Collaborate with cross-functional teams to identify data requirements and design solutions that meet those requirements
Write efficient and optimized code that can handle large volumes of data
Implement data quality checks to ensure accuracy and completeness of the data
Troubleshoot and resolve data pipeline issues in a timely manner

We are seeking a skilled and motivated Data Engineer with expertise in Elasticsearch, cloud technologies, and Kafka. As a data engineer, you will be responsible for designing, building and maintaining scalable and efficient data pipelines that will support our organization's data processing needs.
The role will entail:
Design and develop data platforms based on Elasticsearch, Databricks, and Kafka
Build and maintain data pipelines that are efficient, reliable and scalable
Collaborate with cross-functional teams to identify data requirements and design solutions that meet those requirements
Write efficient and optimized code that can handle large volumes of data
Implement data quality checks to ensure accuracy and completeness of the data
Troubleshoot and resolve data pipeline issues in a timely manner