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Senior AI Learning Experience Designer on a W2 contract, combining learning science strategy, hands-on UX/UI design, and AI prototyping to build interactive learning solutions for enterprise clients—fully remote within the US.
Radar Systems Engineer Ursa Space Systems is building ground-breaking solutions to deliver global intelligence to organizations around the world. Through our SAR/EO/RF satellite network, and data fusion expertise, Ursa…
Sr. Radar Systems Engineer About Ursa Space Systems Ursa Space Systems is building ground-breaking solutions to deliver global intelligence to organizations around the world. Through our SAR/EO/RF satellite network,…
Build deep learning models from scratch (custom transformer architectures) to detect fraud and account sharing at Adobe in Bangalore, owning the full ML lifecycle from feature engineering on Databricks/Spark through large-scale GPU training to production deployment and monitoring.
Architect and implement agentic AI solutions—multi-agent systems, reinforcement learning, and web front-ends—for semiconductor manufacturing process control at KLA's Dresden Software Center of Excellence.
This role involves developing and operationalizing generative AI and machine learning models to process unstructured data for financial services. The data scientist will collaborate with cross-functional teams to build scalable AI solutions using tools like PyTorch, LangGraph, and AWS to improve customer experiences.
The Data Scientist will build and implement machine learning models for credit underwriting and business card strategies using Python, AWS, and Spark. They will collaborate with cross-functional teams to analyze large datasets and translate complex findings into business solutions.
The Data Scientist will lead AI and machine learning workstreams to support Sales, Brand, and Dealer operations at General Motors. The role involves developing scalable analytical solutions using Python, SQL, and cloud-based platforms like Databricks.
This role involves developing and optimizing low-level GPU kernels and math primitives for the oneDNN library to accelerate AI frameworks on Intel hardware. The engineer will focus on performance modeling, hardware co-design, and kernel architecture using C++.
Design and optimize computer vision algorithms (3D reconstruction, object detection, tracking) for robotic systems in manufacturing, using C++, Python, CUDA, OpenCV, and ML frameworks.
The Senior Computer Vision Engineer will design and optimize computer vision algorithms for robotic systems, focusing on 3D reconstruction, object detection, and camera calibration. The role involves developing software in C++, Python, and CUDA to enhance robotic performance in manufacturing and assembly environments.
Lead the architecture and deployment of production-grade ML solutions for geospatial applications, focusing on Python-based model development, API services, and MLOps practices.
The Senior Software Engineer will design, develop, and deploy scalable AI/ML-powered features and models into production environments. The role involves collaborating with data scientists and product teams to integrate AI capabilities into existing systems using Python and modern AI architectures.
The Data Engineer will support cybersecurity identity and access management (IAM) by developing data pipelines, machine learning models, and analytical dashboards. The role involves leveraging AI-assisted tools to deliver real-time insights while ensuring compliance with security and regulatory standards.
The Senior Software QA Test Development Engineer will architect and implement scalable, agentic end-to-end test frameworks and infrastructure for NVIDIA's distributed systems. The role focuses on leveraging AI-assisted workflows and automation to improve software quality and developer productivity within Linux, Docker, and Kubernetes environments.
This role involves hands-on development of distributed block and file storage solutions for NVIDIA's DGX Cloud, focusing on C-based kernel and userspace programming. The engineer will design and implement high-performance storage services while collaborating across teams to support large-scale AI infrastructure.
Graduate Embedded AI Engineer deploying AI/ML models onto embedded/edge platforms using C/C++ and Python under senior guidance to build, test, and optimize AI solutions for automotive hardware.
Develops and deploys AI/Gen AI solutions for corporate functions, focusing on agentic architectures, prompt engineering, and model integration while ensuring Responsible AI compliance and data governance.
Builds AI/ML products for property insights, designing ML pipelines, deploying models, and collaborating with cross-functional teams to develop predictive analytics and digital valuation solutions.
The AI Engineer will design and deploy agentic AI systems that utilize LLMs to automate clinical and operational workflows. This role involves building scalable, production-grade AI agents that integrate with medical data and operate within regulated healthcare environments.
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