דרושים » תוכנה » Python Engineer - Data Group

We are looking for a Senior Backend Engineer to join our AI/ML team. In this role, youll work closely with data scientists to transform cutting-edge machine learning models into scalable, production-ready services. You will take ownership of designing, building, and maintaining the backend systems that power our AI-driven features.

This is a key position that bridges the gap between data science and production engineering, ensuring high performance, reliability, and maintainability of our ML-powered products.

Responsibilities:
Collaborate with data scientists to understand modeling outputs and convert them into deployable services.
Design and develop robust, scalable backend systems and microservices to support AI use cases.
Own the deployment and monitoring of ML models in production (with CI/CD, logging, observability).
Implement data processing pipelines in support of model training and inference.
Ensure software adheres to best practices in architecture, testing, and documentation.
Optimize model inference for latency, throughput, and resource efficiency.
Contribute to design decisions and technical strategy alongside AI and infrastructure leads.

We are looking for a Senior Data Scientist (Applied AI).
As a Senior Data Scientist on our Applied AI team, you will join our Tel Aviv office and play a hands-on, end-to-end role in delivering innovative capabilities that help mayors and other city leaders understand their communities and improve the lives of millions worldwide. Reporting to the Applied AI Team Lead, you will collaborate with product, engineering, and fellow data-science teammates to turn cutting-edge research into production-ready solutionsquickly, reliably, and with maximum real-world impact. Youll work with a rich mix of data sources (including social media, news stories, survey results, resident feedback, and more) to create models and AI-powered features that scale.
Day to Day:
Design, build, and deploy AI and machine-learning solutions, from data exploration through modeling, evaluation, and integration into customer-facing products and internal tools.
Optimize models for quality and scalability through feature engineering, hyper-parameter tuning, runtime profiling, and thoughtful architectural choices.
Build and maintain data pipelines using tools such as Airflow, Spark, and Databricks to ensure clean, reliable inputs for downstream models.
Collaborate closely with product managers, engineers, and designers to refine problem statements, iterate rapidly, and ship impactful features on schedule.
Champion technical excellence by conducting code reviews, sharing best practices, and mentoring teammates across data science and engineering.
Stay current with the latest developments in AI-including LLMs, RAG systems, and AI agents-and proactively propose ways to incorporate new techniques into our workflows.
Work an in-person or hybrid schedule, spending at least three days per week in our Tel Aviv office.

Were hiring a Machine Learning Engineer to accelerate AI-driven innovation across our B2B SaaS product and the broader organization.
This is a hands-on, end-to-end development role where you'll lead the implementation of ML/LLM-based solutions that boost operational efficiency and deliver exceptional product experiences. As an AI-First company, we embed AI across every department and workflowyou'll be at the heart of this transformation.
You will collaborate closely with product managers, engineers, and stakeholders to identify impactful AI opportunities, build state-of-the-art systems, and scale them across the organization.
What You Will Do:
AI-First Development: Design and implement POCs and production-ready ML/LLM solutions that address real-world business problems.
End-to-End Execution: Own projects from research through deployment, including model training, evaluation, integration, and monitoring.
Tool Evaluation: Stay current with state-of-the-art ML/LLM tools and frameworks (e.g., LangChain, Hugging Face Transformers, TensorFlow, PyTorch) and recommend their application.
Collaboration: Partner with engineering, product, and operations teams to embed AI into user-facing features and internal workflows.
System Integration: Build scalable microservices and APIs to deliver AI capabilities across the product.
Operationalization: Contribute to DevOps practices for CI/CD, observability, and ongoing optimization of AI models.
Strategic Reporting: Communicate progress and insights directly to senior management.

Were looking for a Senior Software Engineer with a passion for solving tough technical challenges, working across the stack, and building systems that matter. This is your opportunity to work on an advanced, real-world product involving computer vision, edge computing, and scalable cloud architecture.
🚀 What Youll Do:
Design and implement robust, scalable components across the software stack.
Take end-to-end ownership of complex featuresfrom concept to deployment.
Collaborate with product managers, system engineers, and AI researchers to build integrated solutions.
Contribute to a high-performance platform that combines real-time sensor data, video analytics, and cloud services.
Build and maintain CI/CD pipelines and automated test frameworks.
Lead with qualitywriting clean, testable code and applying TDD principles.
Mentor teammates, share knowledge, and help set best practices across the team.

Were looking for a Senior Fullstack Engineer to join our CTO Office and play a key role in transforming innovative seed projects into production-grade products. This is a hands-on role that blends software engineering, DevOps, and architectural design, offering a unique opportunity to work on cutting-edge technologies and shape the future of our product landscape.

What will you do?
Lead the transition of seed POC projects into scalable, production-ready systems.
Design and implement robust backend and frontend architectures and components.
Utilize, Research and develop AI based solutions and integrations
Build and maintain CI/CD pipelines to ensure smooth and reliable deployments.
Deploy and manage services in Kubernetes environments using Helm.
Collaborate with infrastructure teams to support and maintain production systems.
Ensure high availability, observability, and performance of deployed services.

We are seeking an experienced Backend Tech Lead to join our recommendations group. As a Tech Lead, you will be instrumental in shaping the technical direction and architecture of our backend systems. You will leverage your deep expertise in backend technologies to design, build and scale backend services while guiding a group of engineers toward delivering robust, high-performance solutions. This role offers the opportunity to collaborate with cross-functional teams and contribute to projects that impact the entire organization. If you're a leader with a passion for backend development, we would love to have you on board!

Role

As a Backend Tech Lead, your responsibilities will include:
Mentoring and guiding backend engineers to ensure high-quality code and effective development processes.
System design and architecture: Designing scalable, efficient, and secure backend systems, including APIs and data storage solutions, using technologies like Python, MySQL, Redis and Elasticsearch.
Tech stack evolution: Driving improvements in backend technologies, frameworks and development practices.
Cross-functional collaboration: Working closely with product managers, frontend teams and other stakeholders to ensure backend services meet business requirements and technical specifications.
Performance and scalability: Ensuring that our backend services are highly available, scalable and optimized for performance.
Cloud infrastructure: Overseeing cloud services and ensuring backend systems are seamlessly integrated with cloud platforms.
Code quality and best practices: Writing and maintaining clean, maintainable and well-documented code, while fostering a culture of code reviews, continuous improvement and adherence to best practices.
Technical leadership: Owning the technical direction of backend systems, making key architectural decisions and promoting industry best practices within the group.

We are looking for a Applied AI Team Lead.
As the Team Lead for our Applied AI team, you will join our Tel Aviv office. You will guide the day‑to‑day execution of innovative projects to help mayors and other city leaders understand their communities and improve the lives of millions worldwide. Reporting to the VP of Data Science, you will combine hands‑on technical leadership with people management skills, overseeing a team with rapidly-growing portfolio of mission-critical projects and collaborating with product, engineering, and other internal partners. Youll be responsible for leading every aspect of the development process, so that our cutting‑edge AI and data science capabilities get to production quickly, reliably, and with maximum impact.
Day to Day:
Lead a 5‑person team of data scientists and engineers, coordinating stand‑ups, code reviews, and 1‑on‑1s while also contributing hands-on to high-priority projects.
Oversee the development and implementation of a diverse project portfolio, focused on both customer-facing product features and internal business use cases.
Scope, execute, and deliver end‑to‑end AI and data science capabilities to meet the requirements of product owners and internal stakeholders.
Play a leading role in the development of AI-focused infrastructure and the implementation of best practices for engineering and data science.
Track project risks, dependencies, and costs, and make proactive adjustments to keep initiatives on time and aligned with requirements.
Stay current with the latest developments in AI technologies and tools, and identify opportunities to integrate the latest innovations into our products and workflows.
Recruit, onboard, and develop team members to help scale our Applied AI program and promote a culture of technical excellence.
Work an in‑person or hybrid schedule, with at least three days per week in our Tel Aviv office.

We are looking for an experienced Technology Architect / Technical Leader to drive the design, scalability, and evolution of our Harmony SaaS security platform. You will play a pivotal role in shaping our SaaS cloud security architecture and capabilities to protect organizations from emerging threats in real-time. This is a strategic, cross-functional, and hands-on position, suitable for a builder who thrives on ownership and technical depth.
Key Responsibilities
Architect and drive end-to-end design of large-scale, secure, and high-performance SaaS systems for cloud security, detection, and response.
Lead cross-functional projects across data, detection, and platform teams to deliver end-to-end features and capabilities.
Collaborate closely with Product Managers, Engineering Managers, and UX Designers to translate business requirements into scalable solutions.
Mentor engineers and guide the technology roadmap for the Harmony SaaS product.
Ensure operational excellence and full lifecycle ownership: design, implementation, deployment, observability, and continuous improvement.
Contribute to codebases where needed to unlock complex or foundational technical challenges.
Set architectural and technical standards for data pipelines, microservices, and cloud infrastructure.
Bring technical leadership and innovation to areas such as:
High-scale detection engines and analytics
Cloud-native threat protection
Real-time event streaming and processing
Unified SaaS security policies and visibility.

we are looking for an outstanding Senior Cloud Developer in the ThreatCloud group.
The group is responsible for building the worlds largest and most advanced Threat Prevention cloud platform called Threat Cloud - a global platform that inspects data from hundreds of millions of sources from hundreds of thousands of customers in real time, preventing threats and sharing threat intelligence.
In this position you will join a strong team of developers and will be in charge of researching and building the next generation of detection engines such as anti-phishing and web security using AI and Machine Learning, you will build an infrastructure to deliver these and other capabilities to all our company's Products based on cutting edge cloud services and serve Billions of requests per day.
You will develop new products and capabilities in an agile manner, directly contributing to our company's business plans and to the world's cyber security.
The group is tasked with tackling some of the worlds biggest technical and cyber security challenges, protecting the world from Malware, Phishing, Supply Chain attacks, and other advanced threats in an ever changing landscape where threat actors and adversaries do their best to avoid detection.
You will join a top-notch team of experienced software engineers and cyber security experts, and will own the development of end to end features from design to production using cutting edge cloud technologies, and do so in a dynamic and fast-paced environment.
Come join a team of motivated, fun, creative minds united in delivering innovative new technology and cyber security against the ever-changing threat landscape!!!
Key Responsibilities
Develop end to end features and cloud services in an Internet scale environment with the latest cloud technologies and methodologies.
Research & develop security engines utilizing big data, heuristics and machine learning.
Own your work end to end, from research through design to production.
Be part of a development team, collaborate with your peers and contribute ideas and knowledge.
Work together with product managers, security researchers and other product stakeholders to define requirements and support our customers.

Were searching for a passionate and experienced hands-on AI Architect to join our team.
With a wide array of responsibilities and corresponding impact, youll help spearhead our product offering and wear multiple hats at a fast-growing, dynamic, early-stage company.
Responsibilities:
Design, develop, and drive design processes and products that incorporate Generative AI (LLMs), models and knowledge Retrieval in order to help patients across the US.
Design and define data pipelines and evaluation pipelines.
Coach teams on best practices for datasets and building data sets.
Build applicative AI in production on a large scale.
Build solutions for different mediums including voice products with minimal latency and high accuracy.
Build an internal tool system to allow scientific evaluation.
Implement and lead new AI strategies by designing and implementing complex functionality and/or integrating with 3rd parties.
Continuously improve our existing NLP capabilities to help patients across the US answer any question, schedule appointments with their doctor, refill their prescriptions, and much more.
Use best practices and SOTA from the AI industry but also push the envelope to new heights.