לוח משרות דרושים בתל אביב יפו

Requirements:
5+ years of experience in cybersecurity, with at least 23 years in cloud security architecture
Technical background and hands-on experience with public cloud providers: Azure, AWS, GCP Must
Experience with Microsoft Office365 Security Portfolio - Must
Technical background and hands-on experience with Containers, Dockers, Microservices and Kubernetes preferred
Familiarity with security frameworks/standards (NIST, CIS , CMMC controls, etc.) Preferred
Deep Understanding in the fields of: EDR, Monitoring, Identities, Security Policies, Data Security, Networking, Hybrid environments, Automations Must (at least 3)
Experience with Security Solutions in the fields of: SIEM, WAF, IPS, Anti-DLP, MDM/MAM, Collaboration, Security Policies, CasB Zero Trust, SASE, Firewalls & More Must (at least 3)
Experience with various OSs (Linux/Windows/Mac) - Advantage
knowledge of networking and network security technologies Advantage
Experience and understanding of common cloud security attacks and their remediation Advantage
Experience with automation/configuration management using tools like Terraform, Ansible, CloudFormation or an equivalent Advantage.

Requirements:
3+ years in Data Science, with industry experience in building and optimize AI/ML models
Specialized expertise in modern machine learning methods related to Natural Languages Processing (Transformers, Embeddings, LLMs)
Experience deploying AI/ML services and applications on at least one major cloud platform (Azure, AWS, GCP)
Pratrical skills using modern ML and Generative AI frameworks (Langchain, PyTorch, Tensorflow, Hugging Face and other open-source/ APIs and similar)
Experience with LLM applications and techniques, such as Retrieval-Augmented-Generation (RAG), Chane-of-Thought (CoT) prompting, and open-source LLMs fine tuning
Ability to write production ready code, with strong expertise in designing and implementing ML pipelines
Excellent problem-solving skills with a critical and creative mindset
Exceptional communication skills and a collaborative approach to teamwork
BSc, master or PhD in appropiate technology field (Computer Science, Electrical Engineering, Statistics, Applied Math, etc.)
A Big Plus If You Have:
Extensive experience in integrating and working with vector databases (e.g. Elastic, Milvus and more) for high-performance similarity search, semantic search and embeddings management.
Experience with building continuous integration and monitoring for Machine Learning applications.

Requirements:
What You Bring:
5+ years of experience building backend services with Node.js.
Deep experience with Typeform, MongoDB, AWS, Lambda, Docker/containers, and message queues (e.g., SQS, RabbitMQ).
Proven experience in building or integrating LLM-based solutions (e.g., agents, bots, AI services).
Strong understanding of API design and systems integration.
Excellent communication skills and a strong team player mindset.
Passion for clean, scalable, and well-tested code.

Nice to Have (Big Plus):
Exposure to conversational AI tools and prompt engineering.
Experience with HRTech platforms, ATS integration (Workday/SuccessFactors/Oracle).
Experience with Microsoft Teams App development or Outlook API integration.

Requirements:
3+ years of experience in DevOps, SRE, or Cloud Engineering
Proficient in at least one major cloud provider: AWS, Azure, or GCP
Hands-on experience with Terraform and Python automation
Proven ability to design and implement cloud-native architectures
Built secure Landing Zones with strong network/security best practices
Experience with monitoring tools such as Prometheus, Datadog, or ELK
Comfortable with Kubernetes, Docker, and Serverless infrastructures
CI/CD experience using Azure DevOps, GitHub Actions, or GitLab
Bonus Points:
Experience with LLMOps and vector databases (e.g., Pinecone, Weaviate)
Background in anomaly detection or AI/ML-based alerting systems
Knowledge of FinOps practices and cloud cost optimization.

Requirements:
High English proficiency both spoken and written, additional language is an advantage.
+1 year of previous work experience in online marketing / advertising domain.
Strong problem solving/troubleshooting skills and communication with the different departments.
Basic analytical skills and data literacy.
Can-do approach, creative and committed to improve and continuously learn.
Excellent social skills and strong ability to operate multiple applications and platforms.
Time management skills with the ability to effectively manage and prioritize own workload.
Advantage: Experience working with a large portfolio of customers, working with SMB accounts globally.
Availability for an evening shift once a week from 12:00 - 21:00.
Availability for Friday shifts - twice a month.
Hybrid work environment.

Requirements:
3+ years of experience in technology consulting, with at least 2 years focused on Generative AI.
Proven track record in managing client-facing projects, including budgeting, timelines, and stakeholder communication.
Strong understanding of language models (LLMs), tools like OpenAI, Hugging Face, and cloud platforms (AWS, Azure, GCP).
Ability to translate business needs into scalable AI solutions.
Excellent command of English spoken and written.
Leadership experience or mentoring capabilities.

Requirements:
Minimum 5 years of experience in technology project delivery, with at least 3 years in a professional services environment (e.g., Big 4, system integrators, software houses).
Proven experience managing vendors, subcontractors, and matrixed teams.
Strong understanding of enterprise technology and business processes.
Excellent communication and stakeholder management skills, including experience working with senior executives.
Fluent in Hebrew and English verbal and written.
Bachelors degree in a relevant field (Computer Science, Engineering, Information Systems, Business); Masters degree an advantage.
PMP / Agile certifications strong advantage.
Experience in delivering Data and AI-related projects a significant advantage.

Requirements:
2 - 4 years of experience in manual software testing.
Experience testing web-based systems in dynamic environments.
Experience testing for REST APIs and APIs in general.
Knowledge of API testing tools (postman etc).
Strong understanding of QA methodologies, SDLC, and bug lifecycle.
Hands-on experience with bug tracking and test management tools (e.g., Jira, TestRail).
Detail-oriented mindset with strong communication and problem-solving skills.
Comfortable working independently and across teams.
Excellent written and verbal English skills - both for documentation and for collaborating across teams.
Experience working in Agile/Scrum environments.
Familiarity with SQL for data validation.
B.Sc. in Computer Science or a related field is a plus.

Requirements:
Proven experience with LLMs and GenAI technologies
Hands-on development of RAG-based systems and applications
Strong backend development skills (Python, APIs, microservices)
Experience with cloud platforms: GCP, Azure, AWS
Ability to work independently and collaboratively in dynamic environments
Passion for innovation and solving complex challenges with AI.

Requirements:
Data Analysis Proficiency: Experience with SQL (e.g., ClickHouse, PostgreSQL), Python (e.g., Pandas), and BI tools (e.g., Superset, Tableau).
Ownership & Independence: Able to work autonomously, take initiative, and fully own your projects and workflows.
Analytical & Curious Mindset: A curious mindset with the ability to spot patterns and turn data into actionable ideas.
Collaborative Attitude: Strong collaboration skills; comfortable working with multiple teams and adapting to their needs.
Product Thinking: Understanding of product context and how data impacts users, features, and business outcomes.
Communication: Clear in written and verbal English; skilled at turning complex analysis into simple takeaways.
Attention to Detail: Accurate, thorough, and quality-focused when working with large and sensitive datasets.
This role is also suitable for recent graduates with a relevant degree, even without prior experience.
Bachelors degree in a relevant field such as Industrial Engineering, Information Systems.

Requirements:
Two years of experience
Hands-on capabilities on Microsoft Power Platform or Dynamics 365
Knowledge and understanding of technological processes such as identification, design, development, and testing of client requirements
Fluent control of the English Language
Experience from the world of consulting is an advantage
Preliminary acquaintance with AZURE is an advantage
Capability to self-teach, self-start, think independently, and take initiative are always a plus.

Requirements:
4+ years of experience in software development, with at least 2 years in AI/ML-related roles.
Proven hands-on experience with Generative AI frameworks and tools (e.g., OpenAI, Hugging Face, LangChain, LlamaIndex, vector databases).
Strong programming skills in Python (including libraries such as PyTorch, TensorFlow, Transformers).
Experience with cloud platforms (Azure / AWS / GCP) and deploying AI models in production.
Solid understanding of ML lifecycle, MLOps, and data pipelines.
Experience working in or with professional services / consulting firms an advantage.
Excellent communication skills and ability to work with both technical and non-technical stakeholders.
BSc or MSc in Computer Science, Data Science, Engineering, or a related field.
Nice to Have:
Experience with Retrieval-Augmented Generation (RAG), fine-tuning LLMs, or building custom copilots.
Familiarity with enterprise use cases in finance, healthcare, or public sector.
Contributions to open-source AI projects or research publications.

Requirements:
Technical Expertise:
Programming: Advanced proficiency in Python for backend development and AI applications
GenAI Mastery: Deep understanding of large language models (LLMs) and experience with major model APIs (OpenAI, Anthropic, Google, etc.)
Multi-Agent Systems: Expertise in designing and implementing GenAI multi-agent architectures
Prompt Engineering: Advanced skills in prompt design, optimization, and engineering techniques
Cloud Platforms:
Required: Hands-on experience with AI services in at least one major cloud platform (GCP, Azure, or AWS)
Advantage: Experience across multiple cloud platforms (AI Search, Vertex AI, SageMaker, etc.)
Development Frameworks: Experience with GenAI frameworks like LangChain and cloud-based retrieval services
Software Engineering: Strong background in microservices architecture, API development, and production system design
AI/ML Fundamentals: Solid understanding of deep learning principles and GenAI techniques
Containerization (Advantage): Experience with Docker and Kubernetes for deployment and orchestration
OCR Technologies (Advantage): Experience with Optical Character Recognition systems and document processing
Data Pipelines (Advantage): Experience building and maintaining data processing pipelines
Professional Experience:
Mid+ Level Experience: 2+ years in AI/ML development with significant GenAI project experience
Production Systems: Proven track record of deploying and maintaining AI solutions in production environments
Client-Facing Experience: Comfortable with technical presentations and requirement gathering sessions
Education & Background:
Preferred: Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related technical field
Alternative: Demonstrated industrial experience in developing deep learning and GenAI solutions (degree not required with strong portfolio)
Soft Skills:
Problem-Solving: Excellent analytical and creative problem-solving abilities
Communication: Strong technical communication skills for both technical and non-technical audiences
Collaboration: Proven ability to work effectively in cross-functional teams
Adaptability: Thrives in fast-paced environments and eager to learn emerging technologies
Consulting Mindset: Ability to understand client needs and provide strategic technical guidance.