דרושים » הנדסה » Experienced Software Engineer AI Group

We are seeking a Senior DevOps Engineer to join our team.
As a DevOps Engineer and lead the effort in designing, building, deploying and maintaining our companys infrastructure, deployment pipelines, and continuous integration/delivery workflows.
You will work closely with development teams to ensure efficient and reliable software delivery, as well as identify and implement improvements to our systems and processes.
Responsibilities:
Design, implement, and maintain highly available and scalable infrastructure on cloud platforms such as AWS, Azure, or GCP.
Build and maintain deployment pipelines
Design and implement data pipelines to support various data processing needs across the organization.
Work closely with development teams to ensure code is deployed efficiently and reliably while maintaining high standards of security and performance.
Identify and implement improvements to our systems and processes, including automation and monitoring solutions.
Troubleshoot and resolve issues related to infrastructure and deployments.
Collaborate with cross-functional teams to ensure seamless integration of new features and technologies.

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).

Deep Instinct, the first cyber security company to apply Deep Learning to cyber security is looking for a Senior DevOps Cloud Engineer. Deep instinct is an innovative start-up that has a unique and game-changing software solution to protect Fortune 500 End-Point users against Zero Day & APT cyber-attacks. This is an incredible opportunity to get in early at a Pre-IPO Cyber Security company that is poised to do huge things! We're on a mission to disrupt the cyber security market and the time is NOW! You will take part in Developing, maintaining, and optimizing our products and their production environments. Play a key role in designing our transformation from a single tenant service to a high scale multi-tenant HA cloud native solution. Influence and optimize our software delivery lifecycle, Infrastructure as code, container orchestration, artifact managers, monitoring, and more while working closely with development and research teams.

Office Location:
TLV Office

Region:
Israel

Responsibilities::
What kind of things we do? Streamline the software development lifecycle by identifying pain points and productivity barriers and determining ways to resolve them. Collaborate closely with development teams to understand their current build and release processes and make recommendations for improvement. Partner with cross-functional stakeholders, including development, research, operations, quality assurance and security, to streamline processes. Provide guidance to development teams to improve performance and operability of the solutions they develop. Build and maintain the CI/CD pipelines to improve developer productivity, agility, and code quality. Develop and continuously improve automation solutions to enable teams to build, deploy and test code efficiently and consistently. Ensure that systems meet business and customer needs for reliability and availability. Monitor and manage application performance and service quality, including initial troubleshooting, identification of root cases and issue resolution. Work closely with cross-functional stakeholders to analyze and troubleshoot complex production issues.


Why Work With Us::
Deep Instinct , is the first cyber security company to apply Deep Learning as a platform. We are the only cyber security company harnessing the power of deep learning to prevent 99% of known and unknown attacks from malware and zero-day threats. Deep Instinct Prevention for Endpoints . Prevention of malicious files at the endpoint is critical. Deep Instinct prevents known, unknown, zero-day, and ransomware from executing on the endpoint Deep Instinct Prevention for Applications. is an agentless, on-demand, anti-malware solution for the enterprise that is device and system agnostic. With our unique, industry-leading deep learning ap

We are looking for a Machine Learning Engineer to join our Data Science group.
We are a fast-growing company that is building a multi-product platform for eCommerce brands, and the Data Science group is at the heart of our innovative solutions.
Our group works on fundamental challenges within the eCommerce space which span a variety of domains, such as Machine Learning, Deep Learning, NLP, Generative AI, Reinforcement Learning, Recommendation Systems, Computer Vision and more.
You will:
Build data pipelines & large scale solutions based on ML models.
Work with big data technologies (e.g., AWS, spark, airflow, k8s), ML technologies (e.g., pytorch, keras, mlflow) and software engineering technologies (e.g., git, docker, jenkins).
Collaborate with highly experienced developers and researchers.
Constantly learn new stuff.

We are looking for a highly-technical leader with experience managing a distributed team and a solid understanding of several key technologies.


This is a Hybrid position open to candidates in the Israel area.

What You'll Do

Lead the IDP cloud SDET team and work with all the stakeholder teams to guarantee cloud software and deployment quality

Lead cloud test direction, test strategy, test design/development/execution and reporting

Hands-on design and development of test framework/tools and scripts to achieve test efficiency and productivity to ensure functionality, reliability, performance, scalability of cloud.

Work with other quality leaders to understand product quality and automation gaps and opportunities, customer engagement as it relates to quality, and continuously reviewing the impact of SDET work.

Support our cloud test platform as it relates to other test and pipeline activities

Hire, coach, and support engineers as needed.

We're seeking a talented, passionate, and experienced DevOps Engineer to join our team. The ideal candidate will have a strong background in building and maintaining scalable environments, a commitment to quality, and a collaborative work ethic. They should also have a passion for new technologies, with a craving to work in a fast-paced environment, utilizing advanced cloud technologies and methodologies like K8s, GitOps, and IaC.



Main Responsibilities:

Design and implement CI/CD pipelines.
Automate the provisioning, deployment, and management of AWS environments for development, staging, QA, and production.
Optimize infrastructure for scalability and cost-efficiency.
Streamline processes through the automation of repetitive tasks and workflows.
Establish and maintain robust monitoring systems to ensure application and system health.
Enforce security best practices and compliance standards for software and infrastructure.

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.

You will work in a team of data and software engineers building our Authentic Attention products.

You will process 10s of billions of records a day using mainly Python and Scala, utilizing advanced technologies like Spark, Kafka, Docker, Kubernetes, DataBricks and GCP managed solutions like Google Composer and many more.

You will build the next generation of digital advertising optimization tools used by the biggest advertisers in the world to help them understand and optimize their ROI. This is a true big data product at a huge scale and high impact for our clients and the digital advertising industry as a whole.

You will maintain a very high engineering standard that includes testing, automated deployment, infrastructure as code, high degree of monitoring and availability.

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 Software Engineer to join the Cluster team.
Why would you love this job?
As a member of the Core Platforms group, you will be responsible for the software behind the fastest NoSQL clusters on earth, supporting more than 200 million ops/sec at sub-millisecond latency with true linear scalability.
​Our ideal candidate is a strong individual that loves to work with a diverse team of bright and ambitious people.
You are passionate about technology in general and specifically the challenges around cloud, performance, and distributed computing. You are a quick learner, always eager to learn and improve.
You are able and willing to share your knowledge and guide other team members.
If youre all that, fun to work with, and want to make an impact while contributing to a wildly successful startup, then this is the right challenge for you.
What youll do:
Develop the next generation of our Cluster products and solutions.
Own and lead our Cluster features end-to-end, from design through development and deployment.
Debug, maintain, and improve the Cluster infrastructure, enhancing its ability to handle many thousands of databases with millions of requests per second.
Provide technical leadership and guidance to other team members.
Participate in various open source projects that we maintains and/or contributes to.
Work closely with team members, Product, DevOps, Support, Customer Success, and other R&D teams.