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At defense-tech startup Kela in Tel Aviv, this Data/ML Platform Engineer builds and operates data/ML infrastructure (Python, SQL, Kubernetes, pipelines for multimodal sensor data) while working hands-on with customer algorithm teams — a hybrid role bridging internal data platform work and customer-facing project delivery.
Please complete the attached Internal Transfer Request Form and submit. Please make sure to apply with your Coupang e-mail address . Company Introduction We exist to wow our customers. We know we’re doing the right…
Job Summary Full-time : 37.5 Hours per week, Monday to Friday Location: Ottawa Office (Up to 3 days per week), 70 Laurier Ave West, Suite 310, Ottawa, ON K1P 5V5 and Ottawa-based Home Office, or, remote if located…
Be an integral part of a innovative and forward thinking agile team to enhance, build, and deliver advanced technology products. As an Applied AI/ML Lead within the Corporate Sector, Trade Surveillance Technology team,…
Who We Are Build. Scale. Sustain. PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the…
As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve…
Career Category Engineering Job Description Senior Machine Learning Engineer In this role, you will contribute to the development of scalable machine learning platforms and workflows that enable scientists and…
Career Category Value and Access Job Description Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living…
Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in…
Build and deploy AI/ML models for U.S. clients using cloud tools, Kubernetes, and MLOps best practices.
Build and productionize AI-powered workflows and ML models for IT management and cybersecurity products, integrating classification, recommendations, and automation into Kaseya’s platform.
Grow with us As the Company at the forefront of the creation of the Mobile world, and with more than 60,000 patents to our name, we’ve made it our business to make a mark. Being part of Ericsson empowers you to…
Efsora, an AI-centric software development firm that augments enterprise clients' R&D teams, seeks a Senior Full-Stack Developer in Turkey to build AI-powered web applications end to end. Daily work spans Node.js/Python APIs, SQL/NoSQL databases, messaging systems, and cloud deployment with Docker/Kubernetes, leveraging Generative AI tools for development.
Senior platform engineer who builds, operates and troubleshoots enterprise Kubernetes platforms for customers in the UAE, including GPU-enabled RKE2 clusters for AI/ML workloads. Core stack: SUSE Rancher, NVIDIA GPU Operator, Istio, GitOps (Fleet/Argo CD/Flux), Terraform/Ansible, Helm/Kustomize and Prometheus/Grafana.
About ePS Packaging At ePS Packaging, we’re shaping the future of packaging through technology. As a global leader in industry-specific business and production software, we help packaging companies streamline…
Build and improve ML models for personalized recommendations and ad targeting at a Korean local-commerce platform, using deep learning and LLM techniques.
Solutions architect acting as trusted technical advisor for key/strategic Nebius GPU Cloud customers in the Middle East & Africa, helping them design, deploy, and scale AI solutions on large-scale GPU workloads (hundreds to thousands of GPUs). Core stack: Kubernetes, Python, Terraform/Ansible, and GPU computing (CUDA/OpenCL) for ML training and inference.
The Principal Solutions Architect will lead technical presales and solution design for strategic customers in Japan, focusing on large-scale AI/ML infrastructure and GPU-accelerated cloud workloads. The role involves acting as a trusted advisor to executive stakeholders and collaborating with internal product and engineering teams to drive adoption of the Nebius AI cloud platform.
Designs and implements cloud infrastructure and MLOps solutions for AI teams, advising on GPU orchestration, Kubernetes, and IaC tools like Terraform.
Builds and deploys AI/ML prototypes on a cloud platform, supports enterprise customers through technical onboarding, and feeds insights into product development.
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