לוח משרות דרושים במרכז

Requirements:
· Experience in mechanical assembly, mechanical enclosures and assemblies. · Knowledge in electronics - reading drawings, soldering PCB's and assemblies · Experience in promoting work processes. · Debug at System Level, replacement of electronic modules and peripheral parts. · Experience in Mechanical Assembly · Working with development personnel. · Knowledge in computer assembly. · Familiar with Microsoft Office: Excel, Word. · Proven hands-on abilities - (Process includes work with Screwdrivers, wiring, etc.) · Fluent in Hebrew & English. · Electrical engineer certificate · Computer technician

Requirements:
Requirements:
* At least 3 years of hands-on experience with Microsoft Azure cloud platform.
* Familiarity in Azure services such as Azure Resource Manager (ARM), Azure DevOps, and Azure Kubernetes Service (AKS).
* Familiarity with Infrastructure as Code (IaC) tools like Terraform, ARM templates, or similar.
* Familiarity with CI/CD pipeline creation and maintenance.
* Familiarity with containerization (Docker) and container orchestration (Kubernetes).
* Ability to write scripts for automation (Bash, PowerShell, Python).
* Strong problem-solving skills and ability to work in a fast-paced environment. Nice to Have:
* Azure certifications (e.g., Azure Solutions Architect, Azure DevOps Engineer).
* Knowledge of security best practices in cloud environments.
Why Join Us?
* Be part of an innovative team working on cutting-edge cloud technologies.
* Competitive salary and benefits package.
* Opportunities for professional growth and Azure certification.

Requirements:
Were looking for someone whos not just a great engineer, but a passionate innovator who puts their soul into solving tough problems and delivering value.
* 4-5+ years of experience in researching, developing and delivering ML solutions in production-scale environments.
* Solid foundation knowledge of data science, Machine Learning, and statistics.
* Demonstrated analytical thinking and a deep understanding of data - its structure, context, and the insights it can unlock.
* Strong Python programming skills with fluency in AI/ML frameworks: Scikit-learn, TensorFlow, PyTorch, Hugging Face, LangChain, etc.
* Expertise in working with large-scale datasets using SQL, Spark, or similar tools.
* Proven success translating product or business needs into working AI systems.
* Fast learner, creative, and comfortable working in a dynamic startup environment.
* Good communication skills, able to explain complex ideas and findings to both technical and business audiences. Bonus Points (Preferred)
* Experience with cybersecurity-related data or product domains.
* Hands-on knowledge in working with LLMs and building AI agents.
* Familiarity with AWS cloud environment and MLOps (ML Orchestration, Docker, Kubernetes, MLflow, etc.). This position is also open to Security Researchers with data and AI experience who are looking to expand in AI. Ready to Empower the Future? At Cynet, you wont just be another data Scientist. Youll be a thought leader. A builder. An innovator. This is a unique opportunity to envision and shape how AI defends tomorrows digital landscape. If you're ready to dive deep, move fast, and create meaningful impact - wed love to meet you Apply now and lets build the future of cybersecurity together.

Requirements:
Requirements:
B.sc in Computer Science/Software Engineering.
5+ years of experience in Backend engineering.
Proficient with NodeJS / Go.
Experience in relational & non-relational databases.
Experience in Express, NextJS, Typescript.

Requirements:
Requirements:
4+ years of experience as an analyst in a tech company.
Strong expertise in SQL and experience with data warehouses and cloud systems.
Hands-on experience with A/B testing methodologies and funnel analysis.
Knowledge of Python for data preparation, statistical testing, and modeling.
Strong analytical and statistical skills with a hypothesis-driven mindset.
Experience with BI tools (Looker, Tableau, or BI-as-code tools).
Excellent communication and collaboration skills, with the ability to translate data into actionable insights for both technical and non-technical teams.
Curiosity, problem-solving appetite, and ability to thrive in a fast-paced, dynamic startup environment.
Exposure to automation of analytics tasks with AI tools.

Nice-to-have:
Experience in e-commerce, travel, or other high-volume consumer products.
Background in Data Modeling, Information Systems, or Computer Science.

Requirements:
Requirements:
4+ years of proven experience as a Business/Data/BI/Product Analyst.
Hands-on experience with automation of analytics tasks with AI tools - advantage.
SQL expert with knowledge of data warehouse concepts; understanding databases and cloud systems.
Strong analytical and statistical skills.
Exceptional business-oriented thinking and the ability to think strategically.
Experience with building data products with BI tools ( Looker, Tableau, or any BI as Code tool).
Ability to wear many hats and learn quickly.
Excellent teamwork and communication skills. Someone who can self-manage, think creatively, and is detail-oriented.
Knowledge of Python for data prep and analysis.
Multi-task in a fast-paced, dynamically changing startup environment.
Ability to build and manage a team in the future to support our growth.

Advantages:
Background in Data Modelling, Information Systems, or Computer Science.
Experience in the Travel and/or e-commerce industry.

Requirements:
4+ years of hands-on software development experience with a focus on AI/ML applications.
Strong proficiency in Python and experience with ML workflows and MLOps.
Familiarity with workflow orchestration tools and/or process automation tools.
Solid understanding of data integration and data-driven solution design.
Ability to work cross-functionally and interface effectively with multiple departments.
Strong initiative and problem-solving skills, with the ability to independently gather requirements and propose solutions.
Passion to AI-driven process optimization, ideally in business domains as mentioned above.
Familiarity with cloud platforms and modern AI frameworks is an advantage.