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Tradeweb is a global leader in electronic trading across asset classes. As financial markets become increasingly interconnected, our technology enables efficient, multi-asset trading on a global scale. We serve more…
Senior Software Engineer - Full Stack Austin, Texas (Hybrid: Four Days in Office) Note: This is a full-time role and we do not offer C2C or C2H employment and are not able to sponsor visas for this position. About…
The Applications Development Intermediate Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in…
Graduate software engineer (24-month contract, hybrid) at CERN in Geneva building the production-ready Virtual Research Environment: developing Python/JupyterLab-React extensions for Rucio, REANA and Zenodo, consolidating Helm charts with Prometheus monitoring, and working on OAuth2/OIDC federated authentication deployed on CERN's Kubernetes infrastructure.
Build and scale the machine-learning infrastructure that powers Quince’s AI-driven retail platform, designing training pipelines, feature stores, and real-time inference systems on AWS and Kubernetes.
Build scalable, fault-tolerant systems and APIs for core business logic like inventory and payments using Kotlin, Scala, and data technologies like Kafka and Spark.
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo…
Develops and maintains petabyte-scale data systems and ML pipelines for autonomous driving foundation models using frameworks like JAX and Flume/Beam.
Build and operate petabyte-scale ML pipelines and infrastructure to train, benchmark, and deploy foundation models for Waymo’s autonomous driving systems using frameworks like JAX and Flume.
MLOps-style engineer at Camtek (semiconductor inspection) in Migdal HaEmek who turns research ML models into optimized, production-ready components: integrating models, optimizing inference (TensorRT/ONNX, GPU), and building deployment/monitoring infrastructure using Python, PyTorch, and C++/C#.
Staff-level Platform Architect owning AI/ML infrastructure on Google Cloud: building model/inference serving on GKE, Terraform-based IaC, ArgoCD GitOps, ML pipelines, observability/SLOs, and cost efficiency for LLM and agentic workloads. Remote in LATAM (Brazil preferred), EST working hours, paid in USD.
Syngenta's R&D Digital data science team is hiring a Machine Learning Engineer to build and deploy production-grade computer vision and ML solutions that turn drone, satellite, and sensor imagery into digital traits for seed breeding. Day-to-day work spans the full ML lifecycle — model development, cloud data pipelines, MLOps, and monitoring — using Python, PyTorch/TensorFlow, Docker, and AWS/GCP/
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading…
Builds and maintains automated tests and CI/CD pipelines for a startup developing software-driven fabrics to optimize GPU cluster performance for AI workloads.
Build and deploy machine learning systems for real-time applications like anomaly detection and recommendation engines using Python, cloud platforms, and MLOps tools.
Here is a comprehensive Job Description tailored specifically for a Senior AWS DevOps / Platform Engineer transitioning into MLOps , structured to attract candidates with strong consulting or client-delivery…
Design and deploy AI/ML systems, including LLM-based and RAG architectures, for a federal data ecosystem while optimizing models and infrastructure on cloud platforms.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a MLOps Field Engineer based in India. Join a global Field Engineering team helping…
Business Alliance HR is hiring a mid-level AI/Machine Learning Engineer for a Jordan-based biotech/computational biology company. The engineer applies representation learning and predictive modeling to structured biological data, translating research papers into prototypes and shipping production ML systems in Python (PyTorch/TensorFlow/JAX).
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