We are looking for an experienced Senior Data Engineer to join our 'Data & AI' group. As a key member of our team, you will play a crucial role in designing and building data models, developing infrastructure, and optimizing data processes to support our data analysis, data science and engineering teams. You will collaborate with various stakeholders to ensure efficient data ingestion, processing, and analysis, contributing to the overall success of our data-driven initiatives.
Key Responsibilities:
Design and build robust data models and infrastructure to support data science and engineering teams.
Develop and optimize data processes, including ETL/ELT pipelines, for efficient data ingestion and processing.
Identify and understand business processes to derive actionable insights from the data.
Collaborate with BI analysts to create comprehensive reports and dashboards.
Implement and maintain scalable data solutions in a high-volume production environment.
Utilize modern technologies such as M3DB, Open-Search, Grafana, etc., for data processing and analysis.
Lead design initiatives for new products and contribute to best practices.
Work closely with cloud providers like AWS for data storage, computation, and orchestration.
Stay updated with advancements in data engineering, big data, and cloud technologies.

Were looking for an exceptional data engineer to join our journey to create a data-based platform that will transform the shipping industry.
As a senior data engineer, you will take an instrumental part in laying the foundations and building the data infrastructure in the company, plan and implement the relevant data infrastructure and tools, be in charge of pipelining the companys data and be responsible for the integrity of the data as we scale up.
Responsibilities:
Contribute to the ongoing management of the data team platform including platform enhancements, capacity management, performance monitoring, troubleshooting and resolution of technical issues
Designing and optimizing data storage solutions, including data warehouses and data lakes.
Identify, design, and implement process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
Developing and maintaining data pipelines for efficient extraction, transformation, and loading (ETL) processes.
Participate in proofs-of-concept on platform innovation, and effectively transition and scale those concepts into production at scale through, engineering, deployment and commercialization.
Part of a cross-disciplinary team, working closely with other data engineers, software engineers, data scientists, data managers and business partners.

You will design, develop, and optimize ML model pipelines, and scale our models from research to production.

RESPONSIBILITIES
Building and improving our engineering infrastructure to enable and scale our applied algorithmic research and development. On a day to day, some of your responsibilities will include:

Design, Develop, Test and Maintain ETLs and services for integrating with our customers various data systems.
Design, Develop, Test and Maintain ETLs and services for building our own data processes to accommodate applied research needs as well as production needs.
Finding performance bottlenecks in our data pipelines and our machine learning pipelines and resolving them
Develop end-to-end algorithmic solutions for complex ML problems from research and training models, through design, development, evaluation and optimization.
Develop train and inference engine pipelines in a large scale distributed system.
Transform NLP and data related ML/DL algorithmic approaches into efficient and optimized production-ready solutions.
Design, Implement and Optimize ML/DL and research pipelines to improve algorithms performance.
Transform high-level product requirements into technical requirements
Brainstorm and prototype algorithmic improvements.
Work in an ambiguous environment and collect requirements from different personas in the company (Product, FE, Research, etc.)
Advise and collaborate with researchers on DL software engineering aspects (such as tools and practices).

As the Vice President of Data , you will hold a critical leadership position responsible for driving strategic decisions through advanced quantitative analysis and data Science. Your expertise will be instrumental in cross-departmental collaboration with product marketing, customer service, and operations teams to ensure alignment and synergy across all areas of the business.

Responsibilities:

Lead and mentor multiple teams of Analysts, Data Scientists and Data Engineers.
Initiate & manage cutting-edge projects from ideation to delivery, including developing automated solutions.
Evaluate and improve the companys KPIs through data.
Collaborate closely with Stakeholders from Product, Marketing, Operations, Customer support and Finance and initiate data driven decisions and solutions.
Lead the analysis of complex datasets to extract valuable insights, trends, patterns, and anomalies that drive strategic decisions.
Lead the building and upgrade of existing data infrastructure to cope with performance, scalability, and growth.

We are seeking a highly skilled and motivated Cyber Data Analyst to join our dynamic team.
The ideal candidate will be proficient in working with both structured and unstructured data, utilizing a variety of databases including GraphDB, VectorDB, ColumnDB, Elasticsearch, and other NoSQL databases.
This role involves leveraging Python to explore data, extract insights, present trends, and make predictions.
Responsibilities:
Advanced Data Exploration: Apply Python and statistical tools to deeply explore structured and unstructured data across various database technologies (GraphDB, VectorDB, ColumnDB, Elasticsearch, and NoSQL).
Insight and Trend Analysis: Extract meaningful insights from complex data sets to identify trends, patterns, and anomalies.
In-depth Research: Research up-to-date threat-intelligence repositories and automate data enrichments into the platform.
Data-Driven Cybersecurity Analysis: Utilize advanced statistical methods and mathematical modeling to analyze data for potential threats and vulnerabilities, focusing on patterns and anomalies that could indicate security incidents.
Collaborative Insight Sharing: Work alongside cross-functional teams to communicate complex data findings. Prepare and present reports that translate intricate data insights into actionable intelligence for both technical and non-technical stakeholders.
Continuous Skill Enhancement: Stay updated with the latest statistical methods, data analysis techniques, and advancements in AI, including machine learning and deep learning, to continually improve cybersecurity data analysis practices.

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.

As a BI Data Analyst, you'll play a critical role in analyzing and transforming mobility data into actionable insights. Collaborating closely with stakeholders, you'll gather requirements, design visualizations, and optimize data processes for informed decision-making.
Key Responsibilities:
Utilize BI analytics tools like AWS QuickSight, Domo, Tableau, and Heap for impactful charts, graphs, and dashboards.
Implement and optimize ETL processes for accurate and timely data delivery.
Collaborate with cross-functional teams to translate business requirements into meaningful KPIs and metrics.
Conduct data quality assessments, cleansing, and validation for accuracy and consistency.
Provide actionable recommendations based on data analysis to support strategic decision-making.
Stay updated with industry trends and best practices in BI, data analytics, and visualization.

We are looking for a Senior Data Engineer.
In your role as a Data Engineer, you'll be actively engaged in the most fascinating and demanding projects for our clients. Handling high-scale operations, heavy traffic, stringent SLAs, and massive data volumes is just the starting point. Our leadership in the realms of Big Data, Streaming Data, and Complex Event Processing (CEP) stems from our adept use of cutting-edge, optimal technologies.
Responsibilities:
Apply software-engineering methods and best practices (Medallion Architecture) in Data Lake management.
Develop Data pipelines to provide ingest and transformation of data.
Manage and enhance orchestrated pipelines across company
Data Modeling: Developing data models to ensure efficient storage, retrieval, and processing of data, often involving schema design for NoSQL databases, data lakes, and data warehouses.
Scalability: Ensuring that the big data architecture can scale horizontally to handle large volumes of data and high traffic loads.
Data Security: Implementing security measures to protect sensitive data, including encryption, access controls, and data masking.
Data Governance: Establishing data governance policies to ensure data quality, compliance with regulations, and data lineage.

We are seeking a talented and experienced Data and ML Engineer, youll be leading the ML infrastructure and data processing R&D effort, taking a pivotal part in developing our proprietary machine learning-based perception and navigation algorithms.

In this position, you will report to the AI Team Lead and play a key role in a fast-growing team with significant impact and potential for professional and personal growth.

Responsibilities - what you will be doing

Design, build, and manage the data processing pipelines and solutions used for training and testing of AI algorithms
Collaborate closely with perception and navigation R&D team members to implement machine learning algorithms and models tailored for high-accuracy offline execution, later to be used for automatic labeling and semi-supervised training
Profiling, analyzing, and benchmarking of models to identify areas for improvement in terms of efficiency, and accuracy emphasizing aspects of real-time performance on embedded platforms
Stay up to date with the latest advancements in deep learning foundation models and ML algorithms, data management solutions, and cloud computing advancements
Collaborate with the data management and cloud teams to guide and build a unified data management solution based on multi-sensors and our various data sources

Were seeking a Data Specialist with strong analytics skills to join our Tel Aviv-based team and help shape our Large Language Model (LLM) capabilities. In this unique role, you'll own and architect the data tagging landscape . You'll go beyond performing tagging tasks to design and implement the processes and systems that will govern future data labeling efforts. You will leverage your expertise alongside Prompt Engineers and Product Managers. As you grow, you'll build and lead a team of part-time Data Taggers, ensuring consistency and quality in tagging processes.

Sound like your perfect fit? We want to hear from you!

As a Data Specialist, you will be responsible for owning data tagging foundation and ensuring top-quality data through hands-on tagging, system design, and collaboration. In this role, you will:

Perform hands-on data tagging to ensure accuracy and completeness, develop and implement tagging standards and guidelines, and work across various data sources to maintain consistent and high-quality tagging.
Design and establish foundational processes for data tagging, monitoring, and evaluation, develop a comprehensive tagging framework and best practices. Implement systems for continuous monitoring of data quality and tagging accuracy, create and maintain documentation, evaluate and improve tagging processes, and generate regular reports on tagging performance and metrics.
Inspire and lead a dynamic team of data tagging professionals, empowering their performance, and driving a culture of excellence amidst a fast-paced, ever-evolving environment.
Work closely with other departments to understand their data needs and ensure tagging processes align with goals. Communicate regularly with stakeholders on tagging initiatives and performance, and act as the primary point of contact for tagging-related issues and all monitoring and evaluation tasks, ensuring remains top in class.