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30/07/2026
חברה חסויה
Location: Netanya
Job Type: Full Time
We are seeking a detail-oriented and collaborative Senior ML Engineer to help support and maintain our machine learning capabilities. This role is ideal for someone who enjoys working closely with production systems, ensuring reliability, scalability, and explainability of models while enabling research teams to deliver impact faster.



Responsibilities



Collaborate with cross-functional teams to ensure ML systems remain robust, explainable, and aligned with business needs.
Monitor and report on ML model performance, reliability, and explainability metrics.
Participate in model retraining procedures, implement automation and optimization of MLOps pipelines.
Extend and scale monitoring pipelines, including support for new features in development.
Investigate, troubleshoot, and resolve issues in production ML workflows (tiered support from initial triage to root-cause analysis with model owners).
Develop and maintain repositories for feature engineering, inference monitoring pipelines, and artifact monitoring tools.
Perform exploratory data analysis (EDA) on historical datasets to identify quality issues and maintain data health.
Implement and oversee production based adjusters across customer deployments.
Evaluate and track critical ML artifacts such as explainability files, coverage metrics, and alignment of features.
Support development and maintenance of internal tools (e.g., interfaces, registries, and feature monitoring frameworks).
Build and maintain static and temporal features, including seasonality, event-based, and price-related features.
Requirements:
5+ years of hands-on experience in data science, ML operations, or applied ML support.
Proficiency in Python and standard data/ML libraries (Pandas/Polars, NumPy, Scikit-learn, SQL; experience with PyTorch or TensorFlow is a plus).
Strong data visualization and exploratory data analysis skills for monitoring and debugging pipelines.
Experience with time-series data and feature engineering.
Familiarity with explainability tools and model monitoring best practices.
Strong problem-solving skills with the ability to troubleshoot across data, code, and model workflows.
Excellent communication skills to summarize findings for both technical and non-technical audiences.
Experience with cloud-based ML platforms - preferably GCP
Familiarity with containerization (Docker), K8s, CI/CD workflows, or ML observability tools.
Familiarity with orchestration tools such as Airflow, Kedro or Dagster is a plus.
Prior exposure to demand forecasting, pricing, or revenue management.
Bachelor's or Master's in Computer Science, Machine Learning, Statistics, Engineering or a relevant field.
This position is open to all candidates.
 
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30/07/2026
חברה חסויה
Location: Netanya
Job Type: Full Time
We are looking for an MLOps Team Leadto drive the development of an internal machine learning platform for a group of ML teams. This is a hands-on leadership role: you will guide a small team of MLOps engineers that builds the automation and infrastructure powering our research (R&D) workflows and runs our pipelines to production. You will take ownership of end-to-end initiatives and drive the team toward critical infrastructure and model-lifecycle milestones, while staying close enough to the code to set technical direction and raise the bar by example.

You will be responsible for building and maintaining the models and data pipelines behind our data science workflows, ensuring the accuracy, consistency, and efficiency of the data used for training and inference, working across structured and unstructured data from many sources on a large-scale, distributed platform.

WHAT YOU WILL DO

- Lead, mentor, and grow a team of MLOps engineers, owning delivery and technical quality.

- Take end-to-end ownership of infrastructure and pipeline initiatives across the LMM group, from design through production.

- Stay hands-on: contribute to design and code, review work, and set engineering standards.

- Drive the team through critical milestones in ML model-lifecycle and infrastructure ownership.

- Partner with R&D and other stakeholders to translate research needs into robust, scalable systems.

- Help evolve the platform, including our ongoing migration from Dask to Ray.
Requirements:
Requirements
- BSc or Master's degree in Computer Science, Mathematics, or Engineering.

- At least 5 years of commercial experience in Python.

- At least 3 years of hands-on commercial MLOps experience in production (not side projects).

- Experience managing or leading a team of engineers, with ownership of both people and delivery.

- Hands-on experience owning the ML model lifecycle (training, deployment, monitoring, retraining).

- Experience with pipeline orchestrators such as Dagster or Airflow.

- Experience with a major cloud provider such as GCP, AWS, or Azure.

- Experience with distributed computing systems.

- Experience with Docker.

- Experience with Kubernetes.

- Commercial experience writing and maintaining scalable ML systems.

- Fluent in English, both written and spoken.
This position is open to all candidates.
 
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30/07/2026
חברה חסויה
Location: Netanya
Job Type: Full Time
We are seeking a talented and self-driven experienced Data Scientist to help advance our machine learning capabilities.This is a key role for someone passionate about leveraging machine learning to solve complex, real-world problems and deliver measurable business impact.

Responsibilities:

Develop and implement state-of-the-art econometric and machine learning models for demand forecasting.
Conduct research and experimentation to evaluate novel approaches for improving accuracy, robustness, and scalability.
Collaborate with cross-functional teams (including product, data engineering, MLOPS and Platform) to deploy ML systems in production.
Clearly communicate complex technical findings to non-technical stakeholders, including product leaders and executives.
Requirements
Requirements:
Youll be a great fit if you have...

5+ years of hands-on experience in data science and machine learning with a proven record of leveraging modeling into business outcomes.
Proficiency in Python and its ML/data stack (e.g., PyTorch or TensorFlow, Pandas, NumPy, Scikit-learn).
Expertise in time-series forecasting, ideally Deep Learning based, preferably in demand prediction or related areas.
Feature engineering, feature importance testing, explainability based experience.
Masters or PhD in Computer Science, Machine Learning, Statistics, Engineering or a relevant field.
Solid understanding of ML production workflows (versioning, testing, reproducibility, and deployment).
Excellent communication and collaboration skills.
This position is open to all candidates.
 
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30/07/2026
חברה חסויה
Location: Netanya
Job Type: Full Time
We are seeking an MLOps Engineer to help us grow our technical team's capabilities. The ideal candidate has relevant experience in data engineering, preferably within the AI field. Aviation industry experience would be a great addition.

You will be responsible for building and maintaining models and data pipelines that power our data science workflows. You'll play a crucial role in ensuring the accuracy, consistency, and efficiency of the data we use for model training and inference. This involves working with both structured and unstructured data from various sources, leveraging your expertise in data engineering and machine learning to create a robust and scalable system.
Requirements:
Requirements
BSc or Master's degree in Computer Science / Math / Engineering
At least 5 years of commercial experience in Python
At least 3 years hands-on MLOps commercial experience
Experience working with pipeline orchestrators (e.g., Dagster, Airflow)
Experience with distributed computing systems
Experience with Docker and Kubernetes or other scalable containerized solutions
Commercial experience in writing and maintaining scalable ML systems
Fluent in English, both written and spoken
Team player, ready to help others
This position is open to all candidates.
 
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18/08/2026
חברה חסויה
Location: Netanya
Job Type: Full Time
Were looking for an AI Algorithms Manager to lead the development of advanced algorithms in the telehealth domain, with a direct impact on how care is delivered and experienced.
In this role, youll lead a team of algorithm developers, drive algorithmic work end-to-end, from problem definition and data exploration to model development, evaluation, and integration into real-world systems. The work focuses on developing AI capabilities in computer vision, signal processing and LLM domains to tackle complex challenges and turn them into reliable, production-ready solutions.
Key Responsibilities:
Lead algorithmic development end-to-end- from shaping the technical problem and defining data needs to development, architecture, validation, and implementation
Drive innovation and infrastructure initiatives to advance the solution in alignment with the latest scientific progress
Stay hands-on in research and development, actively contributing to core algorithms and solving complex technical challenges
Design, develop, and optimize models using machine learning, computer vision, and signal processing techniques
Guide the work of team members, providing technical directions, feedback, and support
Collaborate with cross-functional teams (engineering, product, clinical) during problem definition, solution design and smooth integration into production systems
Ensure robustness and reliability through proper evaluation, validation, and continuous improvement of models
Promote best practices in development, experimentation, and code quality
Requirements:
MSc or PhD in Computer Science, Electrical Engineering, Physics, or a related field
7+ years of experience developing algorithms or applying machine learning to real-world problems
3+ years of experience leading \ managing team members
Strong hands-on experience in machine learning and deep learning
Proven experience in computer vision and/or signal processing
Experience with ML frameworks such as PyTorch, TensorFlow/Keras, or similar
Solid understanding of taking models from research to production
Strong problem-solving skills and ability to approach open-ended challenges
Excellent communication and collaboration skills
Experience in digital health / medical devices (an advantage)
Experience working with physiological or clinical data (an advantage)
This position is open to all candidates.
 
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חברה חסויה
Location: Netanya
Job Type: Full Time and Hybrid work
Were looking for a technical professional, with proven experience for building secure, scalable artificial intelligence systems as well as data-for-AI solutions. In this role you will develop our cutting-edge AI Data platforms used by world-leading brands.
Responsibilities:
Data Pipelines: Clean, preprocess, and analyze large datasets to ensure high-quality inputs and results.
Deployment & Integration: Help deploy AI agents into production environments and integrate them into existing workflows.
Monitoring & Optimization: Evaluate model performance, test for accuracy, and tweak algorithms for continuous improvement.
Documentation: Maintain clear documentation for AI model architectures, data pipelines, and deployment processes
Scale: Build highly scalable solutions that can leverage large data sets effectively
Requirements:
Bachelors degree in computer science, or a related field
Experience: 3-4 years of hands-on experience in software development, AI, or machine learning
Practical experience with LLM-based systems
Data Handling: Working knowledge of SQL, and data preprocessing techniques.
Programming Languages: Proficiency in Python, .NET is a plus
Work experience in a cloud environment, preferably AWS; CI/CD, containers (Docker/Kubernetes), and monitoring/observability
Independent, self-managing contributor
Solid understanding of SQL and data modeling; familiarity with NoSQL technologies
Problem solver
Excellent organizational skills
Excellent communication and interpersonal skills
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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לפני 15 שעות
חברה חסויה
Location: Tel Aviv-Yafo and Netanya
Job Type: Full Time
We're seeking a hands-on AI Solutions Specialist to lead the development and implementation of enterprise-wide AI applications. In this pivotal role, you'll evaluate and deliver cutting-edge AI solutions to employees and teams across the organization. You'll spearhead AI solution projects from initial concept and gathering requirements through execution and widespread adoption, serving as the central point of contact between business, IT, and data teams. You'll also be at the forefront of the latest AI technologies.

As an AI Solutions Specialist you will
Partner directly with cross-functional and non-R&D teams to understand workflows, pain points, decision-making processes, manual tasks, and operational bottlenecks - diagnosing where GenAI and AI Agents can provide real, measurable value.
Translate ambiguous business problems into clear AI use cases, MVP definitions, solution designs, success metrics, and rollout plans.
Lead the lifecycle of GenAI-driven applications and Agents, transitioning rapidly from initial concept and technical feasibility to full enterprise-grade production rollouts.
Build and configure AI-powered solutions, including agentic workflows, workflow automations, RAG-based tools, decision-support tools, and integrations with internal systems.
Conduct technical audits of emerging AI technologies, leading "Build vs. Buy" analyses to ensure global scalability, security, and measurable value to the organization.
Run training and enablement sessions for both technical and non-technical teams, fostering a culture of AI literacy and ensuring the organization can leverage new tools effectively.
Build and evolve the Enterprise AI technology stack, continuously scouting and integrating next-generation platforms, LLM orchestration tools, and agentic frameworks.
Serve as the primary technical liaison between IS, IT, Legal, and Data teams to ensure AI solutions are securely integrated and compliant with enterprise standards.
Be a product owner of enterprise AI platforms, driving continuous solution adoption, impact measurement, and performance optimization across the organization.
דרישות:
5+ years in a technical role such as software engineering, solutions engineering, automation engineering, AI engineering, business application implementation, or a similar hands-on role, including 1+ years delivering AI, GenAI, agentic, or automation solutions for business or operational users.
A clear builder track record: you have shipped tools, automations, workflows, internal products, or prototypes that people actually used.
Deep, hands-on understanding of the LLM lifecycle, including Prompt Engineering, Retrieval-Augmented Generation (RAG), fine-tuning strategies, AI agents, tool use, human-in-the-loop workflows, evaluations, and responsible AI patterns.
Proven experience in implementing Enterprise GenAI platforms (e.g., Gemini Enterprise, Claude Chat).
Hands-on experience developing agentic workflows on top of agentic framework tools like Google ADK, AgentCore, and low-code platforms (Workato)
Proven experience developing GTM-related projects, mainly around sales and marketing.
Proven knowledge of GTM best practices and technology.
Proven project management skills and a demonstrated product management mindset, including the ability to define MVPs, prioritize, separate nice-to-have ideas from high-value use cases, and measure outcomes.
Strong discovery skills with non-technical stakeholders: you can map how work happens today and redesign it around AI, automation, and human accountability.
Excellent communication skills: able to explain technical tradeoffs to business stakeholders and business context to technical teams, and to run training and enablement sessions.
Strong ownership and execution, with creative, out-of-the-box thinking: comfortable moving from ambiguous problems to working solutions, with a focus on business impact and the ability to run and react fast.
Full-stack Web development experienc המשרה מיועדת לנשים ולגברים כאחד.
 
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חברה חסויה
Location: Netanya
Job Type: Full Time
We are looking for a Senior Data Scientist to join a team of passionate engineers who build premium solutions at scale. Every day, we tackle ambiguous and stimulating challenges. We build and operate large-scale distributed machine learning systems that process 1B predictions per second during real-time auctions.

What will you do?
As a Senior Data Scientist, your mission will be to:

Improve existing algorithms & tools allowing to explore and analyze more and more data and provide accurate feedback on the Teads activities.
Develop new algorithms & new approaches to provide accurate predictions and drive new products by providing business insights.
Implement your algorithms and models end to end.
Collaborate with a variety of teams to develop services from design to production.
Make sure the software is in good hands by writing, running and automating tests (unit, functional, load...).
Keep up to date with the latest Machine Learning technologies to make sure we always use the best class algorithms according to the context.
Shape how billions of people discover and enjoy premium content by improving ad relevance, quality, and efficiency across Teads global publisher network.
Requirements:
5+ years of hands-on experience with coding ML based solutions in high scale systems
Relevant industry experience / publications in ad-tech and recommender system
Msc/Phd in computer science / math
Industry experience in building engineering at scale
Large-scale distributed systems, service oriented architecture.
Previous experience with all or some of the elements of our Stack (we mainly use Go, Python, Java, AWS, Jupyter notebooks).
Knowledge in data engineering.
Ability to transform raw data into actionable business insights
Please submit your CV in English.
This position is open to all candidates.
 
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Location: Netanya
Job Type: Full Time
You'll work end-to-end: agent design, tool implementation, retrieval quality, integration into existing product UIs, cloud infrastructure, and evaluation/observability. The platform already ships to customers - you'll extend it, raise its quality bar, and help define where it goes next.

What you'll do

Design and evolve agents - build LLM agents with tool use, routing, and human-in-the-loop flows.
Implement tools and integrations - expose product capabilities to the agent, with multi-tenant context, via internal APIs and MCP servers.
Own retrieval quality - contribute to our RAG pipeline end-to-end: ingestion, embeddings, vector search, and reranking.
Define and evolve host integration contracts - collaborate with host application teams to integrate the assistant into product UIs built on different frontend stacks. You own the shared remote module and the integration API; host teams own their stacks.
Drive evaluation-led development - write evaluators (rule-based, LLM-as-judge, multi-turn), maintain CI eval gates, and use traces and feedback to debug production behavior.
Operate the platform - own deployments, observability, and the performance and cost of LLM-backed services.
Establish engineering practices** for AI-specific work: prompt versioning, eval coverage, testing, and code review.
Requirements:
7+ years of professional software engineering experience.
Strong TypeScript - the primary language across our backend, frontend, and agent code.
Proficiency in modern UI frameworks like React, Angular, or Vue, combined with a strong understanding of JavaScript.
A minimum of 3 years of production experience in backend development using Node.js.
Production experience with LLM-based applications, including prompt engineering, agent/tool-calling design, and RAG.
Hands-on experience with an agent framework (e.g., LangGraph, LangChain).
Vector databases and semantic search with embedding-based retrieval.
Cloud experience on AWS - compute, storage, IAM, and managed LLM services (e.g., Bedrock or equivalent).
Solid web fundamentals - REST APIs, WebSockets, auth (token/OIDC), and modern React.
Docker and standard CI/CD practices.
This position is open to all candidates.
 
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לפני 15 שעות
חברה חסויה
Location: Tel Aviv-Yafo and Netanya
Job Type: Full Time
This role sits at the intersection of engineering, product, and the global developer community. Youll translate technical work across all domains, repositories, security, release management, pipelines, distribution, metadata, AI/ML, and ecosystem integrations, into content, demos, talks, and conversations that developers trust. Youll also bring community insights back into R&D and business teams to influence product direction.

As a Developer Advocate you will:
Represent across developer, DevOps, security, and platform-engineering communities through conferences, meetups, webinars, podcasts, and online conversations
Create high-quality technical content: deep-dive articles, demos, hands-on guides, screencasts, code samples, and social content
Build compelling demos and storytelling around core domains: Artifactory, Xray, Curation, Distribution, Pipelines, Workers, Fly, AI/MCP, and ecosystem integrations like GitHub
Collaborate closely with R&D, Product, Security, Solutions Engineering, Architecture, and Customer Success to deeply understand new capabilities and provide practical feedback
Engage with open source and developer communities, finding new channels and conversations where should have a voice
Partner with Marketing to strengthen messaging while preserving technical credibility
Monitor and report impact across community engagement, content performance, OSS participation, and broader DevRel KPIs
Requirements:
Bachelors degree in CS, Software Engineering, Cybersecurity, or a related field (or equivalent experience)
8 years of hands-on experience as a Software Engineer, DevOps Engineer, Security Engineer, Researcher, Architect, or similar technical role
Proven experience presenting technical topics to developers or technical audiences
Strong writing and storytelling ability around complex concepts
Deep understanding of the DevOps / DevSecOps ecosystem, software supply chain, CI/CD workflows, and modern developer tooling
Ability to communicate clearly with developers, leaders, customers, and community members
Familiarity with key developer and professional social platforms (e.g., LinkedIn, Reddit, Twitter/X, Slack, Discord) for community engagement and content amplification
Comfortable setting goals, executing independently, and measuring impact
Genuine enthusiasm for engaging communities, learning in public, and amplifying real developer value
A willingness to travel to conferences, customer events, and community gatherings
This position is open to all candidates.
 
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02/08/2026
חברה חסויה
Location: Netanya
Job Type: Full Time
Experienced Backend Team Leader? It's time for your next challenge.
Our mission is to create the ultimate CRM Suite for our clients to manage, sell, automate, track & grow their customer database and sales.
Were responsible for crafting innovative, smart & flexible SaaS systems that help companies to scale and grow in challenging environments.
Our solutions are implemented worldwide, in more than 15 countries, delivering outstanding digital experiences for millions of people.
As we continue to grow, were looking for a passionate, fun to work with, Backend Team Leader to join our team and build great products with us.
Responsibilities:
Lead a team of backend developers including hands-on involvement
Responsible for tasks analysis, design, timelines and quality
Work closely with the company CTO and Product Managers
Work closely with other development and QA teams and groups
Responsible for the code standard and code quality of the team
Responsible to enforce the development processes of the team
Report risks or any delays in advance
Committed to team tasks
Support team members
Requirements:
B.Sc. Computer Science Degree (or equivalent)
At least 4 years of experience in advanced web development
Experience and expert-level knowledge in one of the following: Python / Node.js / PHP
Experience and deep knowledge in database design with emphasis on MySQL / PostgreSQL
Practical experience in Linux / AWS / Git
Knowledge in Web Servers, Data Flows and Web Security
Understanding of Frontend technologies, such as React/Vue.js/Angular, HTML5 and CSS3 - Advantage
Familiarity with NoSQL databases and their declarative query languages - Advantage
Personal Qualities:
Passionate about learning and always seeking opportunities to expand your knowledge
A self-starter with great instincts and the ability to discern upcoming needs
Not afraid to roll up your sleeves and have a Can Do attitude
Outgoing and personable and takes pride in being a positive, helpful presence around the office
A team player with the time management and organizational skills to work independently as well
This position is open to all candidates.
 
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עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
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