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We are seeking a Software Engineering Manager to lead a team focused on validating third-party AI models for compatibility with our AI platforms. This role involves overseeing the development of automated pipelines for benchmarking inference performance, evaluating accuracy, and enabling the publication and internal consumption of validated models. The ideal candidate brings strong leadership skills, a DevOps mindset, and experience building scalable microservices.
What you will do:
Lead a team responsible for validating third-party AI models on our AI platforms.
Design and maintain automated pipelines for model performance and accuracy evaluation.
Ensure validated models are published and accessible for customer use.
Collaborate cross-functionally with engineering, product, and sales enablement teams to surface validation data and support go-to-market efforts.
Guide architectural decisions around microservices and devops practices to support scalable and reliable validation workflows.
Foster a high-performing team culture through mentorship, technical guidance, and career development.
Collaborate with partners who are both consumers and contributors of the team's deliverables.
Foster a culture of innovation, collaboration, and continuous learning.
Manage project timelines and resources.
Communicate technical plans and progress to stakeholders.

Required Tech Lead - AI Dev Platform
Job Summary
The AI Core Components (AIPCC) Dev Platform team, part of our AI Engineering organization, is seeking a seasoned technical leader who is passionate about open source, developer enablement, and the infrastructure that powers our AI/ML products.
As the Tech Lead, youll play a critical role in shaping the technical direction of the Dev Platform team, providing technical oversight, mentorship, and strategic guidance to engineers as they build and support internal platforms and tools that accelerate AI development across. You will work hands-on with the team to architect solutions, review code, unblock challenges, and cultivate a culture of technical excellence.
In this role, youll partner closely with Product Management, cross-functional engineering teams, and external collaboratorsincluding open source communities and hardware partnersto guide the design and development of high-impact platform capabilities. Your leadership will directly influence the success of os rapidly growing portfolio of AI/ML offerings.
If youre energized by solving complex problems, growing technical talent, and scaling infrastructure for innovation, this is an opportunity to make a meaningful impact.
What You Will Do:
Lead technical strategy and decision-making for the Dev Platform team, ensuring architectural consistency, scalability, and maintainability across projects.
Act as a technical mentor and coach, guiding team members through design, implementation, and career development.
Provide technical oversight and review of engineering work to uphold quality, security, performance, and operational best practices.
Collaborate with Engineering, Product Management, and Support to scope, prioritize, and deliver high-value platform capabilities.
Work with team leadership to evaluate new project opportunities, proposing effective technical approaches, and driving solutions from concept to production.
Serve as a point of technical escalation for complex development challenges or infrastructure bottlenecks.
Represent the Dev Platform team in cross-functional initiatives and advocate for developer platform needs across the AI Engineering organization.
Engage with upstream open-source AI/ML communities to inform our strategy and align our platform development with evolving community standards and tools.
Collaborate with hardware partners to ensure emerging AI acceleration technologies are evaluated and integrated where appropriate.

We are looking for a skilled and motivated Engineering Tech Lead to join our Data Science Engineering team. The ideal candidate will have a deep understanding of software development and the ability to guide technical solutions. This role requires a combination of technical expertise, strong problem-solving skills, and the ability to collaborate effectively with cross-functional teams. As an Engineering Tech Lead, you will play a crucial role in exploring and investigating solutions and technologies, contributing to technological and architectural decisions with a hands-on approach.
About the Data Science Group: The Data Science group is at the forefront of developing and implementing advanced machine learning models and solutions. Our team is composed of talented data scientists, engineers, and subject matter experts who work together to create a high-quality, production-ready surveillance product and services. We are committed to pushing the boundaries of technology and delivering impactful results for our clients.
Lets get down to business:
What Youll Do:
Develop and maintain software infrastructure and solutions to support the efficient development, deployment, and maintenance of machine learning models and our surveillance pipe solution in production.
Collaborate with data scientists, engineers, and subject matter experts to deliver high-quality, production-ready machine learning models and a fully integrated scalable solution.
Design and implement software architecture for machine learning solutions.
Work with containerized environments such as Kubernetes and Docker.
Utilize AWS for cloud-based machine learning solutions.
Conduct unit testing and ensure continuous integration and continuous deployment (CI/CD) practices are followed.
Work in a production environment and closely with data science teams to ensure seamless model deployment and maintenance.
Stay updated with the latest advancements in machine learning, software development, and related technologies.

Full Stack team lead - Python, React.js, AWS - Tel Aviv, Israel - Full Time.
Our client is an AI-powered visual fleet management platform for commercial shipping companies.
Using computer vision technology, our system connects onboard cameras to shore-based teams, enabling Real-Time visibility into vessel operations.
The platform helps identify safety risks, improve operational efficiency, and support data -driven decision-making by combining video analytics, AI insights, and benchmarking tools across the fleet.
About the Role:
We are looking for a hands-on Full Stack Engineering team lead to head the Shore team the team building our core product: a Real-Time SaaS platform that gives shore-based teams full visibility into whats happening at sea.
This is one of the most impactful roles within the business, with direct influence on our product, our customers, and the future of the maritime industry.As Engineering team lead, you'll work closely with Product, DevOps, QA, data and AI teams to shape a product thats deeply connected to users' daily operations.
Youll lead a growing team of strong engineers ( backend & frontend, Israel and offshore), own both feature development and platform evolution, and help define the engineering culture.
Are you an experienced Software Engineering team lead?
Looking to make a real impact with a product led organisation?
Please send a copy of your CV directly through the advertisement with immediate feedback within 24 hours or emai.
This is a 3 stage interview process with Engineering Leaders.

*This opportunity is available in a hybrid model from our TLV site or remotely within the EU time zone*

We are looking for an experienced Full Stack Team Lead to guide a talented team in building and evolving our platforms core features.

What Youll Do:
Lead and mentor a team of full stack developers, promoting best practices and continuous improvement.
Take ownership of end-to-end development of our products and features, from design and scalability to production.
Solve complex, high-scale problems and drive architectural decisions to ensure performance and scalability.
Collaborate closely with Product and Engineering teams to define priorities and enhance product quality.
Promote a culture of technical excellence through code reviews, mentorship, and team-building initiatives.