דרושים » הנדסה » Customer Engineer, AI/ML, Cloud (Hebrew)

Requirements:
4+ years of professional software development experience, with proficiency in languages such as Python/C#/Java.

Experience in the end-to-end ML lifecycle, including model training, deployment, inferencing, and addressing the challenges of scaling AI products.

Proficiency in safe AI/ML rollout methodologies, including canarying and A/B testing.

Proven ability to design and architect complex, high-performance systems that support AI workloads.

Demonstrated experience with cloud services (e.g., AWS, GCP, Azure).

Hands-on experience with common ML frameworks like PyTorch or TensorFlow, as well as libraries like scikit-learn and time-series models (e.g., Prophet, ARIMA, LSTM).

Strong problem-solving skills and the ability to write and optimize high-performance code.

Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.).

Requirements:
As a Technical Support, you will be regarded as a company product expert and, as such, you will be involved in daily technical operations and escalations. The main responsibilities include performing customer installations and technical evaluations, developing and testing and solutions in strategically and tactically significant applications and use cases, including File protocols, Machine learning, Object Storage, and high-performance computing, at customer sites and in the lab. You will consult on pre-sales and technical sales activities and will work on escalated technical support issues to resolution, interfacing with the customer and the development team.
Required skill set:
Overall 3+ years of experience in customer-facing, pre-sale/post-sale positions working with complex IT solutions.
Extensive knowledge and experience in the enterprise IT infrastructure, networking and storage space is required, along with a broad understanding of the enterprise software world.
Significant experience required in the areas of file systems and scale-out NAS Implementation
An advantage to candidates that have In-depth knowledge and hands-on experience with S3 and high-performance computing.
Excellent written and verbal communication and presentation skills.
An advantage to candidates that have hands-on lab and hardware management experience.
An advantage to candidates that have experience working in a rapidly growing entrepreneurial, dynamic start up.
MS or B.Sc. in CS, CE, EE or related fields.
Ability to travel. To be successful in this role, you will need to travel around 20% of the time.

Requirements:
5+ years of hands-on experience in software engineering (Backend preferably in Python).
2+ years of experience in machine learning pipelines on cloud environments.
Knowledge in statistics and machine learning techniques.
Proven ability to lead product feature development, from concept to production.
Experience with large scale, high performance, production environments.
Experience working with SQL and NoSQL databases.
Experience in AWS cloud environment.
Advantages:
Bs.c / Ms.c in Computer Science / Software Engineering.
Experience with ML Frameworks such as PyTorch, TensorFlow and MLFlow.
Experience with Deep Learning, NLP and LLM pipelines (RAG and agentic systems).

Requirements:
What Experience Will Drive to Success
* Bachelors degree in data Science, Computer Science, Computer Engineering, or related field.
* 3+ years of hands-on software development experience.
* 1+ years of experience in AI engineering, with a proven track record of building and deploying AI systems.
* Strong proficiency in Python.
* Experience with AI frameworks and protocols such as LangChain, LangGraph, OpenAI, MCP, A2A, etc..
*  Solid understanding of LLM integration and prompt engineering for complex reasoning.
* Experience with Git and Jenkins.
* Strong problem-solving skills, a passion for innovation, and a self-driven mindset.
* Excellent communication and collaboration skills.
*  Hands-on experience with Big Data processing frameworks (Advantage).
*  data science experience or familiarity with applied Machine Learning (Advantage). What We Are Looking For Independent and Self-Driven: Were building an AI Department from the ground up, so we need someone proactive, takes ownership, and thrives in a startup-like environment. Passion for Innovation: Whether its building scalable data infrastructure or creating advanced AI models, we are looking for someone passionate about solving complex challenges and delivering innovative solutions. Collaboration Skills: we are all about teamwork. You will collaborate with engineers, data scientists, and product teams to build impactful solutions. Strong communication and interpersonal skills are key. Adaptability and Problem-Solving: Things move quickly at our company. You should be able to adapt to changing requirements and quickly solve problems in a fast-paced, dynamic environment. Can-Do Attitude: Were seeking motivated individuals who take the initiative, face challenges head-on, and can work independently while contributing to the team's success. About the Company: our mission is to protect every mobile app worldwide and its users. We provide mobile brands with the only patented, centralized, data -driven Mobile Cyber Defense Automation platform. Our platform delivers rapid no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration as code ease, Threat-Events threat-aware UI / UX control, ThreatScope Mobile XDR, and Certified Secure DevSecOps Certification in one integrated system. With us, mobile Developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, TEST, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from within mobile DevOps and CI/CD pipelines. Leading financial, healthcare, m-commerce, consumer, and B2B brands use our company to upgrade mobile DevSecOps and protect Android & IOS apps, mobile customers, and businesses globally. Today, our customers use our platform to secure over 50,000+ mobile apps, with protection for over 1 billion mobile end users projected.

Requirements:
* 5+ years of experience as a backend Engineer or similar role, specifically building and operating production-grade, scaled APIs and microservices.
* Experience with Generative AI concepts and Large Language Models (LLMs).
* Proven self-learner with the ability to quickly grasp new technologies and complex domains.
* Hands-on experience with Kubernetes (K8s) and cloud platforms (AWS, GCP).
* Experience with CI/CD pipelines and integrating automated tests
* Proven ability to solve complex technical problems and make data -driven decisions.
* Excellent communication and collaboration skills, with a track record of working effectively in a team-oriented environment.
* Hands-on experience with observability tools such as Prometheus, OpenTelemetry etc. Bonus Points:
* Familiarity with Go programming language.
* Experience working within an Infrastructure or Core Engineering team.
* Experience with LLM orchestration frameworks like LangChain.
* Familiarity with prompt engineering, prompt optimization techniques, and managing system prompts.

Requirements:
Experience of minimum of 4 years in support roles
Required experience with AWS, Azure, and/or GCP
Knowledge in containers and Kubernetes concepts - Must
Hands on troubleshooting containers and Kubernetes (Preferable)
Experience using API
Creative and self starter with ability to troubleshoot and debug issues using many data sources and AI tools.
Experience with Linux and Windows systems
Excellent written and verbal communication skills
Ability to work well is a diverse team environment
Knowledge of scripting languages, preferably Python, Bash and JavaScript (Optional)
Previous experience with Prisma Cloud or Cortex XDR (optional)
Required knowledge of DevOps and CI/CD (preferably, but not mandatory, with hands-on experience)
Familiarity with information security concepts, such as CVE, CVSS, etc.

Requirements:
We’re looking for someone who’s 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 won’t just be another Data Scientist. You’ll be a thought leader. A builder. An innovator. This is a unique opportunity to envision and shape how AI defends tomorrow’s digital landscape. If you're ready to dive deep, move fast, and create meaningful impact - we’d love to meet you Apply now and let’s build the future of cybersecurity together.

Requirements:
Bachelors degree in Computer Science, Industrial Engineering, Mathematics, Statistics, Economics, or a related field.
Strong coding skills in Python a must.
Experience with SQL databases and data manipulation tools (e.g., Pandas, NumPy).
Good knowledge of statistical analysis and applied problem-solving.
Experience using or integrating Generative AI tools a must.
Familiarity with data visualization tools such as Grafana, Redash, or similar a plus.
Strong analytical mindset, with the ability to connect data to business and product outcomes.
Excellent communication and interpersonal skills, with fluency in English.
Ability to manage multiple projects simultaneously and thrive in a fast-paced environment.

Requirements:
3+ years of experience in an L2 support role.
Solid knowledge of databases, query optimization, and dashboard creation using Snowflake, SQL, and data visualization tools.
Strong understanding of cybersecurity concepts, threat detection, incident response, and security best practices in Web3 environments.
Working knowledge of networking concepts, including TCP/IP, DNS, VLANs, VPNs, and network troubleshooting methodologies.
Proven troubleshooting abilities, analytical thinking, and systematic problem-solving approach for complex technical issues.
Excellent written and verbal communication skills for technical documentation, customer interactions, and cross-team collaboration.

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.