דרושים » תוכנה » Senior Software Engineer (Data Department)

We're looking for a Senior Backend Engineer to join our R&D team. You will work closely with our product team to build our unique product offering. As a Senior Backend Engineer, you will be responsible for developing our data ingestion pipeline, introducing new analysis engines, and building complex backend designs that are both scalable and fault-tolerant.



What Youll Do:

Design, develop, test, deploy, maintain and improve the software.
Youll have your domain of expertise in which you'll assist the product team with future directions, lead the technology and cooperate with other engineers.
Youll develop backend services that integrate with and ingest data from various cloud providers that store sensitive data.
Youll build pipelines that analyze, classify, correlate and process this data.
Youll build systems that detect anomalies in the ingested data for alerting the customer, that automatically resolve issues and that generate sophisticated yet easily consumable insights arising from the processed data.
Youll have end-to-end responsibility from the technical design phase up to making sure the system is scalable and can meet high customer demands in production.
Youll identify and solve for bottlenecks within our software stack.
Youll bring innovation to the product
Youll work in an agile environment that focuses on high velocity and responds quickly to new insights.
As an all-around player, you'll work closely and at a high pace with other engineers, product, design, and other internal key stakeholders, as well as have a direct line of sight into how your work solves real-world problems for our clients and accelerates our business.

Were looking for an experienced BI Engineer to join our BI Data Platform team in TLV.
As a BI Engineer, you will play a pivotal role in the organization's data platform and analysis. You will lead the design, development, and maintenance of BI solutions that empower stakeholders across the company and contribute to informed decision-making processes while leveraging your extensive experience in business intelligence.
This is an excellent opportunity to be part of establishing our BI data platform, implementing cutting-edge technologies in a cloud environment.
In this role youll:
Lead the design and development of scalable and efficient BI solutions that align with organizational goals and requirements
Utilize advanced data modeling techniques to create robust data structures supporting reporting and analytics needs
Implement ETL processes to ensure the extraction, transformation, and loading of data from various sources into the BI platform
Identify and address performance bottlenecks within BI solutions, optimize queries, and enhance data retrieval efficiency
Implement best practices for DWH and database performance tuning
Conduct thorough testing of BI applications and implement robust validation processes
Collaborate with data engineers, developers, ML engineers, data scientists, analysts and product managers.

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, digitizing, 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 tools for accelerating our mapping operations. Your contributions will directly impact our core product's success.

Your Mission

Collaborate with cross-functional teams to design, build, and maintain data processing pipelines, ensuring efficient data integration, transformation, and loading.
Implement geospatial data processing techniques and contribute to the visualization of data on our unified 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.
Develop and optimize complex Python-based code for data cleansing, validation, and standardization, enhancing the quality and accuracy of datasets.
Create and manage data infrastructure components, including ETL workflows, data warehouses, and databases, supporting seamless data flow and accessibility.
Collaborate in designing and implementing data architecture, ensuring effective data storage, retrieval, and security.
Design and implement CI/CD processes for data processing, model training, releasing, and monitoring, ensuring robustness and consistency.

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 over $200M 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 hiring a highly skilled and motivated Generative AI Researcher to join our talented research team. As a Generative AI Researcher, you will be responsible for developing and implementing cutting-edge multi-modality LLMs to solve complex problems and drive innovation across our organization. You will work closely with data scientists, software engineers, and product managers to design, build, and deploy genAI-powered solutions that enhance our products and services.
A day in the life and how you’ll make an impact: Designing, developing, and implementing multi-modality generative AI models and algorithms utilizing state-of-the-art techniques
* Collaborating with cross-functional teams to define genAI project requirements and objectives, ensuring alignment with overall business goals.
* Stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.
* Publish in high profile venues such as Nature, Science, CVPR, NeurIPS, ICML or similar
* Optimizing existing generative AI models for improved performance, scalability, and efficiency.
* Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.
* Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.
* Contributing to the establishment of best practices and standards for generative AI development within the organization
* Providing technical mentorship and guidance to junior team members

We are looking for a talented and experienced BI Engineer to join our dynamic team. As a BI Engineer, you will take a major part in defining and building the core business models, playing a key role in transforming raw data into valuable insights, and enabling informed business decisions.
WHY YOU SHOULD JOIN OUR TEAM:
Our team's mission is to be the source of actionable strategic intelligence for us. The team partners with business leaders and users to add value through data, make data-informed decisions, discover insights, and share knowledge. Our company and product are focused on serving you. Being on the data team means you get early access to cutting-edge technology & are a north star for the data teams.
Responsibilities:
Data Modeling:
Develop and maintain scalable and efficient data models using dbt (data build tool) and other ETL tools.
Design and implement logical and physical data models that align with business requirements and industry best practices.
SQL Expertise:
Write and optimize complex SQL queries to extract, transform, and load (ETL) data.
To support business objectives, perform data analysis to identify trends, patterns, and anomalies.
dbt and Snowflake Implementation:
Utilize dbt to build, test, and deploy data transformations in a version-controlled environment.
Work extensively with Snowflake, leveraging its features for efficient data storage, processing, and querying.
Data Governance:
Establish and enforce data governance policies, ensuring data accuracy, consistency, and security.
Document data models, transformations, and processes for knowledge sharing and team collaboration.
Collaboration:
Work closely with business stakeholders to understand their data needs and provide actionable insights.
Collaborate with data engineers, analysts, and other team members to ensure seamless integration of data solutions.

Required Software Engineer- MLE Team
Full-time
Tel-Aviv
An AI start-up specializing in retail solutions and shopping experiences. Our technology turns any shopping cart into a smart cart. Powered by computer vision and data analytics, the cart lets shoppers grab the products they want and skip the checkout lines when they leave the store.
We are based in Tel Aviv, deployed by major grocery chains worldwide, and employ some of the best minds in the AI sector.
We're looking for someone with a passion for delivering high-quality code to join the Machine Learning Engineering team which implements and deploys our cutting-edge computer vision-based algorithms, and develops the next-generation solution for our smart cart.
About The Role:
Design, develop, and maintain our computer vision-based solution
Identify bottlenecks, and write highly optimized code exploiting various HW accelerators
Take part in all architecture and development stages, and work closely with the Algo and QA team members
Contribute to the teams engineering culture, by implementing best engineering practices.

We are looking for a Data Engineer Team Lead to join our Data Engineering team in Tel Aviv.

You will be leading one of our data platform teams, that is responsible for processing, storing, and serving data for all our core systems.

What Youll Do:

Lead and mentor a data lake team within our data organization.
Drive high-level projects with company-wide visibility.
Manage the team roadmap, team building, and SW project execution.
Collaborate with stakeholders, including developers, product managers, and business operations.
Take full ownership of end-to-end feature development, from design to production. Contribute to building and designing innovative big data solutions.
Research core technologies and integrate with external APIs and services.

We are looking for a Machine Learning Engineer to join our team as a Technical Lead. The Technical Lead will be integral to the data science feature development process, working with data engineering.
You will design machine learning pipelines, apply algorithms to generate predictions, tackle data set challenges, and develop the first-ever, real-time corporate credit score platform.
This isn't just another job; you'll be a key part of an exciting, experienced team in a fast-paced environment. This position does not involve managerial duties but rather entails leading technically.
You will:
Architect and engineer prompts for various AI models, including LLMs, to generate accurate and actionable outputs for security automation tasks.
Build forecasting/prediction models from scratch (POC) to production-ready
Work closely in aligning the product, research, and development teams in crafting the product, increasing product effectiveness
Collaborative mindset to improve the AI team, communicate with stakeholders, and shape research vision.
Take a critical role in the research process for finding the best market solutions for defined business problems
Guide the R&D team and product teams

Were an exciting Deep Tech startup, backed by the largest VCs and founded by serial entrepreneurs. Our products provide high-performance computing capabilities that will improve the speed and efficiency of database operations. Were seeking an outstanding Senior SW Engineer to join our team and help us develop advanced algorithms that will be executed on our hardware accelerator. This is a rare opportunity to influence the future of data processing.

Job Description
Develop and optimize algorithms for database operations that can be executed on our hardware accelerator
Fly high with the SW, and dive in for a byte of the HW
Write high-performance code in Python and C++
Collaborate with hardware engineers to optimize software and hardware integration for maximum performance
Conduct research on state-of-the-art algorithms and techniques for data analytics and hardware acceleration
Develop and maintain software tools to support testing and validation of our products
Participate in code reviews and contribute to software design decisions

We are making the future of Mobility come to life starting today.

we support the worlds largest vehicle fleet operators and transportation providers to optimize existing operations and seamlessly launch new, dynamic business models - driving efficient operations and maximizing utilization.

seeking a talented and experienced Senior Data Engineer to join our dynamic team. As a Senior Data Engineer , you will play a crucial role in optimizing and expanding our data services, driving advanced machine learning models and optimization algorithms. You will have the opportunity to work on diverse challenges such as data pipelines, optimization, prediction, modeling, transportation, and mapping.
We are looking for someone who is passionate about data engineering, with a strong background in backend development and experience in architecting and implementing data pipelines. You will collaborate with business teams and customers to understand their unique needs and requirements, and translate them into efficient and scalable data solutions. If you are a fast learner, independent, and enjoy tackling complex problems, we would love to hear from you!

Key Responsibilities:

Design and maintain production-level machine learning and data pipelines
Take full data ownership of existing and new features, including data extraction, manipulation, validation, and testing
Create, support, and maintain data marts with a focus on data integrity, performance, and long-term maintainability
Collaborate with business teams and customers to understand unique needs and requirement