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Were looking for a senior Data Scientist to lead into the next stage, utilizing our data assets for in-house business development, product development, and customer outreach.

You will work with large-scale data at the intersection of agronomy and commerce, designing and implementing algorithmic and machine learning solutions that power our data-driven platform. This will include predicting buying behaviors models, sales, and product recommendation models based on farmers' behavior, and combining this with relevant product recommendations. If youre passionate about turning complex data into real-world impact in agriculture, we are looking for you, a talented, detail-oriented person to join our team.

This role provides the opportunity to drive significant impact through scalable data solutions while working with a collaborative, growth-focused team. You'll work with cutting-edge AWS technologies, solve complex data challenges, and play a key role in shaping our data platform's future. You'll learn unique graph relations models and valuable graph database experience.

We are looking for a System Integrator to join the company integration division, The position is primarily hands on involving delivering and supporting large scale projects. Every project is unique and will require learning new technologies and designing new solutions to meet the R&D requirements & deliver a complete solution with Infrastructure & software to the end customer. The integration team is involved throughout the lifecycle of the R&D process from the development stage lab environments to the full-scale deployment in the customer premise and ongoing support & upgrades once the delivery is complete. Support customers (outside the office) Willingness to travel overseas to customers. On call responsibilities

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of machine learning, GenAI, and computer vision within the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
We are seeking a highly motivated and skilled Release Engineer to join our AIOps group. In this role, you'll play a critical part in bridging the gap between development and operations, ensuring the seamless qualification, deployment, and monitoring of our AI algorithms and infrastructure, and be responsible for the end-to-end operationalization of our core technology.
A day in the life and how you’ll make an impact:
* Manage the end-to-end release process of machine learning algorithms and infrastructure components, from qualification through deployment.
* Validate and test new algorithm releases to ensure they meet performance, stability, and compliance standards.
* Create and execute deployment plans across various environments (staging, production), ensuring minimal risk and downtime.
* Collaborate closely with AI researchers, MLOps, and software engineers to understand release requirements, share feedback, and resolve pre-release issues.
* Identify and drive automation opportunities within the release pipeline to improve efficiency, reliability, and traceability.
* Oversee updates to infrastructure components, ensuring compatibility and performance across systems.
* Monitor deployments, proactively identify issues related to model behavior or infrastructure anomalies, and drive resolution with relevant teams.
* Maintain clear and accurate release documentation, including version history, deployment notes, and incident reports.

Entain is one of the world's largest sports betting and gaming groups operating in the online sector. We are establishing a new Performance Marketing Growth Group in Tel Aviv to serve Entain’s Performance Marketing business units. We are seeking a Solutions Manager who will be the go-to expert for problem-solving production incidents. This role is critical for ensuring accurate tracking, reporting, and attribution across all digital marketing channels. The ideal candidate combines strong analytical skills with hands-on experience in marketing platforms, tracking systems, and data analysis, ensuring that our campaigns are measured accurately and efficiently while risk is being managed.

Responsibilities:

* Take full ownership of marketing performance data, ensuring its accuracy, integrity, and reliability.
* Lead problem-solving for any production incidents affecting paid media performance data, from detection to root cause analysis to resolution.
* Analyze performance data to identify trends, anomalies, and user behavior patterns that impact marketing attribution and campaign effectiveness.
* Maintain and optimize Marketing Platforms, including GA4, CAPI, GTM, and integrations with Google Ads, Meta, and programmatic platforms.
* Understand the difference between client-side and backend events, ensuring proper measurement and alignment across systems.
* Collaborate closely with marketing, analytics, operations, and Developers teams to ensure seamless execution and accurate reporting/production fix.
* Lead cross-functional projects related to data tracking, attribution, and analytics, ensuring timely delivery and process optimization.
* Provide actionable insights and regular reports to senior leadership on data quality and operational improvements.
* Document processes, best practices, and incident resolutions to build a knowledge base for continuous improvement.

What We're Looking For: What You'll Do Customer Obsession : Deeply understand our customers through interviews, usage analytics, and feedback loops. Champion their voice across the company. Product Lifecycle Ownership : Own the full lifecycle — from ideation and discovery to roadmap definition, delivery, launch, and iteration. New Product Definition : Identify whitespace opportunities, define vision and MVPs, validate hypotheses, and drive zero-to-one product development. Sustaining Product Growth : Manage and evolve mature products to maintain market fit, improve usability, and drive adoption and retention. Cross-Functional Leadership : Work closely with design, engineering, go-to-market, and customer success teams to ensure product success from every angle. Decision-Making & Prioritization : Balance long-term strategy with short-term impact. Make trade-offs based on data.