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6 ימים
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior Python Developer with deep expertise in Python programming, event-driven architectures and large-scale data processing to lead one of the company's most important areas.

Role and responsibilities
You will lead design and optimize cloud-native applications, build high-performance data pipelines, and develop scalable solutions on AWS. Work with machine learning (ML) workflows, including LLM (Large Language Models) integration.
Requirements:
7+ years of Python development in production environments
1-2 years of experience managing a team, including leading, delegating, overseeing, and communicating
Tests - Proven experience writing automated tests with frameworks like Pytest, focusing on unit and integration testing
Strong understanding of OOP, functional programming, and performance optimization
Expertise in Pandas, NumPy, and PySpark for large-scale data processing
Experience with concurrent programming (multithreading, multiprocessing, asyncio)
Proficiency with monitoring tools such as Datadog and CloudWatch, including performance monitoring, log aggregation, alerting, and troubleshooting
Practical experience working with column-oriented databases like ClickHouse or Redshift, including optimizing complex queries for performance at scale
Event driven architecture - Hands-on experience with event-driven architectures and message queues (Kafka, SQS, SNS, EventBridge)
Work with AWS services (Lambda, Step Functions, Kinesis, S3, DynamoDB)
Optimize database interactions with SQL and NoSQL (DynamoDB, PostgreSQL, etc.)
Work with ML models, including LLM-based applications (Fine-tuning, inference, optimization)
This position is open to all candidates.
 
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17/06/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Required Data Infra Tech Lead
A day in the life and how youll make an impact:
Were seeking an experienced and skilled Data Infra Tech Lead to join our Data Infrastructure team and drive the companys data capabilities at scale.
As the company is fast growing, the mission of the data infrastructure team is to ensure the company can manage data at scale efficiently and seamlessly through robust and reliable data infrastructure. As a tech lead, you are required to independently lead the design, development, and optimization of our data infrastructure, collaborating closely with software engineers, data scientists, data engineers, and other key stakeholders. You are expected to own critical initiatives, influence architectural decisions, and mentor engineers to foster a high-performing team.
You will:
Lead the design and development of scalable, reliable, and secure data storage, processing, and access systems.
Define and drive best practices for CI/CD processes, ensuring seamless deployment and automation of data services.
Oversee and optimize our machine learning platform for training, releasing, serving, and monitoring models in production.
Own and develop the company-wide LLM infrastructure, enabling teams to efficiently build and deploy projects leveraging LLM capabilities.
Own the company's feature store, ensuring high-quality, reusable, and consistent features for ML and analytics use cases.
Architect and implement real-time event processing and data enrichment solutions, empowering teams with high-quality, real-time insights.
Partner with cross-functional teams to integrate data and machine learning models into products and services.
Ensure that our data systems are compliant with the data governance requirements of our customers and industry best practices.
Mentor and guide engineers, fostering a culture of innovation, knowledge sharing, and continuous improvement.
Requirements:
7+ years of experience in data infra or backend engineering.
Strong knowledge of data services architecture, and ML Ops.
Experience with cloud-based data infrastructure in the cloud, such as AWS, GCP, or Azure.
Deep experience with SQL and NoSQL databases.
Experience with Data Warehouse technologies such as Snowflake and Databricks.
Proficiency in backend programming languages like Python, NodeJS, or an equivalent.
Proven leadership experience, including mentoring engineers and driving technical initiatives.
Strong communication, collaboration, and stakeholder management skills.
Bonus Points:
Experience leading teams working with serverless technologies like AWS Lambda.
Hands-on experience with TypeScript in backend environments.
Familiarity with Large Language Models (LLMs) and AI infrastructure.
Experience building infrastructure for Data Science and Machine Learning.
Experience collaborating with BI developers and analysts to drive business value.
Expertise in administering and managing Databricks clusters.
Experience with streaming technologies such as Amazon Kinesis and Apache Kafka.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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Location: Tel Aviv-Yafo
Job Type: Full Time
data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. Were the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world.

Leadership/Team Quote:
The Content Intelligence team builds the Content Intelligence Platform by consuming millions of images and textual inputs every day, and then enriching it with ML capabilities. Eventually, these will serve downstream applications and personalize our customers' experience (think of a way to choose and surface the right images and reviews when customers book their next vacation).
Moreover the team is taking a key role in the new GenAI project - The AI Trip Planner.

Role Description:
Youll work with top notch engineers and data scientists from the team on bringing it to the next level and enabling optimal user experience. The work will focus on building, training and deploying content models (Computer vision, NLP and Generative AI) using the most advanced technologies and models.
Key Job Responsibilities and Duties:
Deploying machine learning models: Design, develop and deploy in collaboration with scientists, scalable machine learning models and algorithms that provide content related insights and generative AI applications, ensuring scalability, efficiency, and accuracy.
Evaluating possible architecture solutions by taking into account cost, business requirements, emerging technologies, and technology requirements, like latency, throughput, and scale.
Generative AI Development: Contribute to the development of generative models such as GPT (Generative Pre-trained Transformer) variants or similar architectures for creative content generation, Q&A, translation or other innovative applications.
Deployment and integration: Work closely with software engineers to integrate machine learning models into production systems. Ensure seamless deployment and efficient model inference in real-time environments. Collaborate with DevOps to implement effective monitoring and maintenance strategies.
Owning a service end to end by actively monitoring application health and performance, setting and monitoring relevant metrics and acting accordingly when violated.
Maintain clean, scalable code, ensuring reproducibility and easy integration of models into production environments, including CI/CD.
Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.
דרישות:
Bachelors or masters degree in computer science, Engineering, Statistics, or a related field.
Minimum of 4 years of experience as a Machine Learning Engineer or a similar role, with a consistent record of successfully delivering ML solutions.
Strong programming skills in languages such as Python and Java.
Experience with cloud frameworks like AWS sagemaker for training, evaluation and serving models using TensorFlow, PyTorch, or scikit-learn.
Experience with big data processing frameworks such, Pyspark, Apache Flink, Snowflake or similar frameworks.
Experience with data at scale using MySQL, Pyspark, Snowflake and similar frameworks.
Demonstrable experience with MySQL, Cassandra, DynamoDB or similar relational/NoSQL database systems.
Deep understanding of machine learning algorithms, statistical models, and data structures.
Experience in deploying large-scale language models like GPT, BERT, or similar architectures - an advantage.
Proficiency in data manipulation, analysis, and visualization using tools like NumPy, pandas, and matplotlib - an advantage.
Experience with experimental design, A/B testing, and evaluation metrics for ML models - an advantage.
Experience of worki המשרה מיועדת לנשים ולגברים כאחד.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Required Senior MLOps Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Senior MLOps Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
How youll make an impact:
As a Senior MLOps Engineer Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet
Our tech stack:
Java, Python, TensorFlow, Spark, Kafka, Cassandra, HDFS, vespa.ai, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes, Docker, git and Jenkins.
Requirements:
To thrive in this role, youll need:
Experience developing large scale systems. Experience with filesystems, server architectures, distributed systems, SQL and No-SQL. Experience with Spark and Airflow / other orchestration platforms is a big plus.
Highly skilled in software engineering methods. 5+ years experience.
Passion for ML engineering and for creating and improving platforms
Experience with designing and supporting ML pipelines and models in production environment
Excellent coding skills in Java & Python
Experience with TensorFlow a big plus
Possess strong problem solving and critical thinking skills
BSc in Computer Science or related field.
Proven ability to work effectively and independently across multiple teams and beyond organizational boundaries
Deep understanding of strong Computer Science fundamentals: object-oriented design, data structures systems, applications programming and multi threading programming
Strong communication skills to be able to present insights and ideas, and excellent English, required to communicate with our global teams.
Bonus points if you have:
Experience in leading Algorithms projects or teams.
Experience in developing models using deep learning techniques and tools
Experience in developing software within a distributed computation framework.
This position is open to all candidates.
 
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18/06/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a talented Senior Backend Developer to join our growing team and lead the architecture and scaling of our real-time, high-performance platform. You will be responsible for designing and implementing critical backend systems that support millions of users while ensuring ultra-low latency, high availability, and seamless performance.

This is a high-impact role where you'll work on cutting-edge backend solutions for cloud-scale gaming infrastructure.

What You'll Do

Architect and develop highly scalable, distributed backend services to support real-time gaming interactions.
Optimize performance and reduce latency in microservices-based architectures handling millions of concurrent users.
Ensure high availability, fault tolerance, and efficient resource utilization in a cloud-based environment.
Design and implement high-throughput data pipelines for real-time event processing.
Develop and manage robust APIs, databases, and caching layers to efficiently handle gaming sessions.
Work in an agile, fast-paced environment, taking ownership of core backend services.
Mentor and guide team members, fostering engineering excellence and knowledge sharing.
Requirements:
7+ years of experience developing large-scale backend systems in Node.js with microservices.
Deep expertise in performance optimization, and real-time event-driven architectures.
Strong background in distributed systems, caching strategies, and concurrency handling.
Hands-on experience designing and optimizing NoSQL databases for high-scale workloads.
Expertise with message queues, event streaming, and real-time data processing (Kafka, Redis, RabbitMQ, etc.).
Solid understanding of cloud infrastructure, containerization, orchestration and Docker.
Experience with CI/CD, monitoring, logging, and security best practices for scalable backend systems.
Nice to have

Experience in managing infrastructure resources, implementing custom autoscaling, and interacting with the Kubernetes API/Control plane
Familiarity with TypeScript
This position is open to all candidates.
 
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19/06/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking talented and passionate Data Engineer to join our growing Data team. In this pivotal role, you will be instrumental in designing, building, and optimizing the critical data infrastructure that underpins innovative creative intelligence platform. You will tackle complex data challenges, ensuring our systems are robust, scalable, and capable of delivering high-quality data to power our advanced AI models, customer-facing analytics, and internal business intelligence. This is an opportunity to make a significant impact on our product, contribute to a data-driven culture, and help solve fascinating problems at the intersection of data, AI, and marketing technology.
Key Responsibilities
Architect & Develop Data Pipelines: Design, implement, and maintain sophisticated, end-to-end data pipelines for ingesting, processing, validating, and transforming large-scale, diverse datasets.
Manage Data Orchestration: Implement and manage robust workflow orchestration for complex, multi-step data processes, ensuring reliability and visibility.
Advanced Data Transformation & Modeling: Develop and optimize complex data transformations using advanced SQL and other data manipulation techniques. Contribute to the design and implementation of effective data models for analytical and operational use.
Ensure Data Quality & Platform Reliability: Establish and improve processes for data quality assurance, monitoring, alerting, and performance optimization across the data platform. Proactively identify and resolve data integrity and pipeline issues.
Cross-Functional Collaboration: Partner closely with AI engineers, product managers, developers, customer success and other stakeholders to understand data needs, integrate data solutions, and deliver features that provide exceptional value.
Drive Data Platform Excellence: Contribute to the evolution of our data architecture, champion best practices in data engineering (e.g., DataOps principles), and evaluate emerging technologies to enhance platform capabilities, stability, and cost-effectiveness.
Foster a Culture of Learning & Impact: Actively share knowledge, contribute to team growth, and maintain a strong focus on how data engineering efforts translate into tangible product and business outcomes.
Requirements:
3+ years of experience as a Data Engineer, building and managing complex data pipelines and data-intensive applications.
Solid understanding and application of software engineering principles and best practices. Proficiency in a relevant programming language (e.g., Python, Scala, Java) is highly desirable.
Deep expertise in writing, optimizing, and troubleshooting complex SQL queries for data transformation, aggregation, and analysis in relational and analytical database environments.
Hands-on experience with distributed data processing systems, cloud-based data platforms, data warehousing concepts, and workflow management tools.
Strong ability to diagnose complex technical issues, identify root causes, and develop effective, scalable solutions.
A genuine enthusiasm for tackling new data challenges, exploring innovative technologies, and continually expanding your skillset.
A keen interest in understanding how data powers product features and drives business value, with a focus on delivering results.
Excellent ability to communicate technical ideas clearly and work effectively within a multi-disciplinary team environment.
Advantages:
Familiarity with the marketing/advertising technology domain and associated datasets.
Experience with data related to creative assets, particularly video or image analysis.
Understanding of MLOps principles or experience supporting machine learning workflows.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We seek an experienced Software Engineer with a strong background to become an integral member of our Data-Core team, tasked with the mission of processing, structuring, and analyzing hundreds of millions of data sources.
Your role will be pivotal in creating a unified, up-to-date, and accurate utilities map, services, and applications for accelerating our mapping operations. Your contributions will directly impact our core product's success.
Responsibilities:
Collaborate with cross-functional teams to design, build, and maintain data processing pipelines while contributing to our common codebase.
Contribute to designing and implementing data architecture, ensuring effective data storage and retrieval.
Develop and optimize complex Python-based applications and services to allow more efficient data processing and orchestration, enhancing the quality and accuracy of our datasets.
Implement geospatial data processing techniques and contribute to the creation of our unified utilities map, enhancing the product's geospatial features.
Drive the scalability and performance optimization of data systems, addressing infrastructure challenges as data volume and complexity grow.
Create and manage data infrastructure components, including ETL workflows, data warehouses and databases, supporting seamless data flow and accessibility.
Design and implement CI/CD processes for data processing, model training, releasing, testing and monitoring, ensuring robustness and consistency.
Requirements:
5+ years of proven experience as a backend/software engineer with a strong Python background.
Experience in deploying a diverse range of cloud-based technologies to support mission-critical projects, including expertise in writing, testing, and deploying code within a Kubernetes environment.
A proven experience in building scalable online services.
Experience with frameworks like Airflow, Docker, and K8S to build data processing and exploration pipelines along with ML infrastructure to power our intelligence.
Experience in AWS/Google cloud environments.
Experience working with both SQL and NoSQL databases such as Postgres, MySQL, Redis, or DynamoDB.
Experience as a Data Infrastructure Engineer or in a similar role in managing and processing large-scale datasets - a significant advantage
This position is open to all candidates.
 
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18/06/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for an experienced AI/ML Engineer to join our Applications team within our platform engineering group. In this role, you'll be responsible for designing, building, deploying, and maintaining production-grade AI systems and ML pipelines. You'll translate cutting-edge data science research into practical, scalable solutions, handling model deployment both in cloud environments and on-premises using GPUs and CUDA. Youll optimize and implement ML models, workflows, and AI agents to ensure high performance and reliability in production environments.
Responsibilities:
Design, implement, and deploy ML models, AI-driven applications, AI workflows, and LLM-based agents into production.
Build, manage, and maintain robust ML pipelines and systems.
Deploy models on cloud and on-premises GPU servers.
Optimize system performance, including model inference, scalability, and resource utilization both on cloud and on-premises.
Develop and maintain services, APIs and integrate ML models into microservices-based applications.
Collaborate with cross-functional teams including data science, backend, DevOps, and platform teams.
Stay up to date with the latest developments in AI, machine learning, and related fields, focusing on LLMs, exploring how emerging technologies can be applied to improve products and services.
Requirements:
At least 4-5 years of experience in building ML/AI solutions, specifically in production environment
Strong experience in building and maintaining scalable machine learning infrastructures
Strong proficiency in Python
Solid understanding of Data Science and Machine Learning lifecycle and best practices for model deployment and serving
Excellent problem-solving abilities, coupled with a creative and strategic mindset
Extensive experience with ML frameworks
Understanding of microservice design and architecture
Proven ability to work effectively in a team setting
Advantages:
Familiarity with distributed ML tools
Experience with real-time machine learning model deployment.
Familiarity with cybersecurity applications of machine learning
Advanced skills in performance optimization for high throughput systems
Tech Stack:
AWS (SageMaker, Lambda), PyTorch, vLLM, Ray, Hugging Face, Docker, Kubernetes, FastAPI, Flask.
This position is open to all candidates.
 
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15/06/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a highly skilled and experienced BackEnd Team Lead to join our dynamic team in Tel Aviv. In this pivotal role, you will oversee the design, development, and optimization of our infrastructure, ensuring efficient flow and quality to support data-driven decision-making across the organization. You will lead a team of backend developers and data engineers, collaborate with cross-functional teams, and drive initiatives to enhance our data collection and data pipeline capabilities.
Key Responsibilities:
Lead and oversee a team of BackEnd and Data Engineers, mentor the team members, fostering skill development and professional growth
Establish and enforce data quality standards, implementing processes for data accuracy, reconciliation, and consistency.
Oversee the design and implementation of robust ETL processes to ensure accurate and timely data integration from various sources.
Collaborate across the business with various stakeholders, such as the CTO, Data Analysts and Product Managers to deliver impactful solutions
Continuously monitor and optimize system flows for performance, scalability, and cost-efficiency.
Requirements:
At least 7 years of experience in backend or data engineering, with a minimum of 3 years in a team lead role.
Experience with development, deployment and automation on AWS - S3, SNS, lambda, batch, dynamo, RDS etc.
Expertise in advanced SQL, including writing complex, efficient queries and building optimized datasets.
Proficient in Python and Python-based data tools.
Working with micro-services on K8S
Proven track record of delivering large-scale, high-quality products
Independent, autodidact with excellent problem solving and passion to learn cutting-edge technologies
Proven ability to lead and mentor a team, manage projects, and collaborate effectively with cross-functional teams.
Outstanding interpersonal skills
Advantage:
Experience in building data stream pipelines and ETL using Big Data frameworks such as Spark and Apache Airflow
Experience with Serverless frameworks
Experience with streaming technologies such as Amazon Kinesis and Apache Kafka.
This position is open to all candidates.
 
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05/06/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We're seeking an exceptional Senior Big Data & Machine Learning Engineer who will architect the future of our AI systems and drive technological innovation within our high-performing team.
What you'll be doing
As a key member of our AI team, you will:
Design Scalable Architecture - Architect, implement, and optimize robust ML pipelines that handle massive datasets with elegance and efficiency, from collection through preprocessing to production deployment
Pioneer Technical Solutions - Apply state-of-the-art machine learning technologies to solve complex challenges while maintaining the agility to incorporate emerging innovations
Drive Cross-Functional Excellence - Collaborate strategically with data scientists, software engineers, architects, and product leaders to transform advanced ML solutions into production-ready systems
Requirements:
Expert-level proficiency in Python, Java/Scala with demonstrable production experience
Advanced knowledge of streaming technologies such as Kafka or Kinesis
Mastery of big data processing frameworks including Apache Spark, Trino, Ray, or Dask Comprehensive experience with Data Lake management, including table formats (Iceberg, Delta, Hudi) and data warehouses (Redshift, BigQuery, Snowflake)
Proven expertise in workflow management systems (Airflow, Kubeflow, Argo)
Strong understanding of microservices architecture and event-driven design
Proven experience with huge volumes of data in production environments.
You might also have:
Cloud platform expertise across AWS, Google Cloud, or Azure, with containerization experience (Docker, Kubernetes)
Hands-on experience with ML frameworks including TensorFlow, PyTorch, and Scikit-Learn
MLOps proficiency including model registry management, experiment tracking (MLFlow, W&B), feature store management (Feast, Tecton), and serving platforms (Seldon Core, KServe, Ray Serve, SageMaker)
Experience with Vector Databases and Generative AI/Large Language Models
Basic knowledge of ML algorithms and data analysis techniques
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8206468
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26/05/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for talented, versatile and highly independent Machine Learning Engineers to join our winning team. You will be in charge of end-to-end development and you'll have a massive impact on the product and the technical decisions made.

The ML Engineers are part of our infrastructure group, working closely with the exceptional research team, taking trained models and scaling them out to production.

Responsibilities:
Take ownership of the entire machine learning engineering lifecycle from building scalable training and evaluation pipelines to deploying models in production, with robust monitoring and maintenance systems.
Help in creating scalable solutions by enabling us to continuously increase the accuracy of our algorithms across thousands of clinics.
Designing a secured large-scale system that is suitable for sensitive patient data.
Continue to enhancing our deep learning infrastructure to supports our AI models at scale, including CI/CD, automation, testing and monitoring.
Collaborate with the research, medical and product teams in implementing ML solutions to the digital health space.
Requirements:
Requirements:
4+ 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).
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8193529
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