דרושים » AI » דרוש /ה AI /ML data Integration Engineer לחברה גלובלית בחיפה!

we are seeking for an AI/ML & data Integration Engineer - Entry Level Position! What youll do:
* Deploy and run AI models (YOLO, vision-language, foundation models) using Docker
* Execute large-scale inference workflows across datasets
* Integrate image data from S3-compatible Storage and Elastic
* Build internal data tools and automate annotation workflows (e.g. CVAT)
* Ensure data quality, monitor pipelines, and troubleshoot issues This is a full-time position, Sunday-Thursday, located in Haifa.

We are now looking for a TensorRT-LLM Software Development Engineer!
we are hiring software engineers for its TensorRT-LLM team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning-powered AI, enabling breakthroughs in areas like LLM, ChatGPT and Generative AI that have put DL at the iPhone moment for AI. Join the team which is building the inferencing software which is foundational to product lines within our company and across the industry! The ability to work on a fast-paced delivery-focused team is required and excellent interpersonal skills are a must.
What you'll be doing:
Craft and develop robust inference software that can be scaled to multiple platforms for functionality and performance
Performance analysis, optimization, and tuning for Large Language Models (LLMs)
Conduct unit tests and performance tests for different stages of the inference pipeline.
Closely follow academic developments in the field of artificial intelligence and feature update TensorRT-LLM
Write safe, scalable, modular, and high-quality (C++/Python) code for our core backend software for LLM inference.
Collaborate across the company to guide the direction of deep learning inference, working with software, research and product teams.

Our team at the Huawei Computing Network Innovation Lab is looking for exceptional talent to join us and lead the development of next generation data centers. We create cutting-edge technologies that synergize software and hardware in tandem to accelerate compute, storage and networking at large-scale. We aim to drive innovations and deliver software defined infrastructure and algorithms to HPC, AI/ML, and Big Data applications.
We are looking for outstanding candidates with hands-on experience in development and optimization of AI frameworks. If you are a team player with excellent communication skills and motivation to revolutionize application performance, youre welcome on board!
What will you be doing?
Work as part of an innovative research team to analyze, develop, test and deploy improvements that enhance Huaweis distributed AI framework.
Develop optimizations that leverage hardware accelerator capabilities, minimize communication overhead and improve training/inference throughput
Push the boundaries of the state of the art in LLM performance and efficiency, including model compression and quantization
Analyze, profile and optimize the latest LLM AI algorithms, and implement as production-quality software libraries for latency-critical use-cases on next-generation hardware.
Work in a distributed computing environment to optimize for both scale-up (multi-device) and scale-out (multi-node) systems
Utilize advanced concepts such as Uncertainty Quantification, Mixed Precision Computing and Model Sparsity to improve performance and enable training of very large AI models
Collaborate with partners from top universities, and open-source communities to conduct state-of-the-art research.

We are recruiting an MLOps / AI-Ops Engineer to join our data & AI Division in Haifa.
This role is responsible for managing, optimizing, and scaling the organizations AI/ML infrastructure across both cloud and on-prem environments, ensuring high availability, performance, and cost efficiency.
Role Overview:
* Manage day-to-day AI infrastructure operations, ensuring reliability, performance, and scalability.
* Deploy, configure, maintain, and troubleshoot AI platforms and tools, including GPU orchestration, Kubernetes, MLflow/Kubeflow, and vector databases.
* Monitor resource utilization (CPU, GPU, memory, Storage, network) and implement performance optimizations.
* Support CI/CD pipelines and infrastructure automation using Infrastructure as Code (Terraform, Ansible).
* Implement security best practices, manage access control, and ensure compliance with AI governance policies.
* Troubleshoot operational incidents and collaborate with AI Platform and AI Security Engineers.
* Contribute to documentation, runbooks, and knowledge sharing.
* Identify opportunities to improve AI infrastructure processes and tooling.

abra SAP department is seeking an SAP SD Consultant. The role involves business process analysis in the sales and distribution area, working with business users, understanding their needs, writing specification documents, customization, testing, training, and user support. A full-time, hybrid position, based in north israel. Key Responsibilities:
* Analyze and implement business processes in the SD area
* Work with integration between SAP modules MM and FI.
* Develop new requirements, handle ongoing issues, and implement system improvements.
* Write functional specification documents and technical specifications for developers.
* Train users and provide ongoing support.