דרושים קרול יועצים

Talent Acquisition Specialist | Part-Time or Full-Time Position

We are looking for a Talent Acquisition Specialist to join our global executive search firm, supporting a wide range of international recruiting projects across multiple industries and seniority levels.

This role includes targeted candidate sourcing, interviews, and placements, as well as close collaboration with our global recruitment team. The position is suitable for both experienced recruiters and motivated students who want to build a career in global recruitment.

Responsibilities

Execute global recruitment projects end-to-end
Conduct targeted candidate searches, screenings, and interviews
Manage candidates throughout the full recruitment lifecycle
Collaborate with our international recruitment team
Support recruitment operations and candidate engagement

Key Responsibilities
Lead, mentor, and grow a team of DevOps Engineers while remaining actively involved in technical delivery.
Design, implement, and maintain secure, scalable cloud infrastructure in Microsoft Azure.
Manage and optimize Kubernetes clusters and containerized production environments.
Build, maintain, and improve CI/CD pipelines to support efficient software delivery.
Drive Infrastructure-as-Code, automation, and configuration management initiatives.
Partner closely with Software Engineering teams to improve deployment processes, release quality, and platform reliability.
Establish best practices for cloud operations, monitoring, security, and automation.
Troubleshoot complex infrastructure and production issues while ensuring high system availability.
Contribute to cloud architecture decisions and platform scalability initiatives.
Promote a culture of continuous improveme

Lead the execution of complex technology programs focused on Computer Vision, Artificial Intelligence, and advanced software systems. In this role, you will partner with engineering, product, and customer teams to drive multidisciplinary R D projects from concept through production, ensuring successful delivery of innovative Computer Vision solutions.

Key Responsibilities
Lead end-to-end execution of multidisciplinary Computer Vision and AI development projects.
Gather business and customer requirements and translate them into technical specifications and executable project plans.
Define project scope, timelines, milestones, deliverables, priorities, and resource allocation.
Coordinate cross-functional teams including Computer Vision Engineers, AI Researchers, software engineers, QA, Systems Engineering, and Product Management.
Monitor project execution, identify risks, resolve technica

Design and develop advanced Computer Vision, Image Processing, and Deep Learning solutions for real-world AI applications. Lead the development of vision algorithms from research and proof of concept through validation, optimization, and production deployment. Build high-performance AI models that power commercial products and collaborate closely with multidisciplinary engineering teams to bring cutting-edge technology into production.

Key Responsibilities

Design, develop, and optimize advanced Computer Vision and Image Processing algorithms.
Develop, train, and evaluate Deep Learning models for object detection, segmentation, classification, tracking, and visual perception.
Lead algorithm development throughout the full lifecycle-from research and prototyping to production deployment.
Optimize AI models for accuracy, robustness, scalability, and Real-Time performance.
Work with large-

Lead multidisciplinary technology programs from initial planning through successful delivery and deployment.
Gather business and customer requirements and translate them into technical specifications, project plans, and execution roadmaps.
Define project scope, objectives, schedules, deliverables, priorities, and resource allocation.
Track project progress, monitor milestones, proactively identify risks, and drive timely execution.
Work closely with software engineers, AI developers, and Computer Vision algorithm teams to ensure seamless collaboration.
Serve as the primary technical interface for customers, partners, and internal stakeholders throughout the project lifecycle.
Coordinate cross-functional activities across engineering, product, and business teams to ensure alignment and execution.

Lead, mentor, and develop a team of DevOps and Platform Engineers.
Design, implement, and maintain secure, scalable, and highly available cloud infrastructure on Microsoft Azure.
Manage and optimize Kubernetes clusters and containerized production environments.
Build, maintain, and enhance CI/CD pipelines to support efficient and reliable software delivery.
Drive Infrastructure-as-Code initiatives and automate infrastructure provisioning and deployment.
Collaborate closely with software engineering teams to improve release processes and production readiness.
Define and implement best practices for automation, monitoring, security, and platform reliability.
Establish cloud governance standards and operational procedures while continuously improving the platform environment.

Lead, mentor, and develop a team of DevOps and Platform Engineers, fostering technical excellence and continuous improvement.
Design, implement, and maintain secure, scalable, and highly available cloud infrastructure in Microsoft Azure environments.
Manage and optimize Kubernetes clusters and containerized applications running in production.
Build, improve, and maintain CI/CD pipelines to enable reliable and efficient software delivery.
Lead Infrastructure-as-Code initiatives and drive automation across infrastructure provisioning and deployment processes.
Collaborate closely with software engineering teams to streamline release cycles and enhance production readiness.
Define and promote best practices for automation, monitoring, security, and platform operations.
Establish cloud governance standards, platform architecture, and operational procedures to support business growth.

Design, develop, and enhance advanced Computer Vision, Image Processing, and AI algorithms for real-world applications.
Develop and train Deep Learning models for complex image analysis, object detection, and visual perception tasks.
Lead algorithm development from research and proof of concept through validation, optimization, and production deployment.
Evaluate model performance using real-world datasets and continuously improve accuracy, robustness, and scalability.
Collaborate closely with software engineers, system architects, and product teams to integrate AI-based solutions into commercial products.
Research emerging technologies and implement state-of-the-art Computer Vision and Machine Learning techniques.
Optimize algorithms for high performance, reliability, efficiency, and Real-Time execution across production environments.