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Build and deploy computer-vision models using deep learning frameworks like PyTorch/TensorFlow to classify images, detect objects, and segment scenes for AI applications.
FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group of Hearst, is actively seeking a Full-Stack Data Engineer. Ideally, a hands-on data engineer who possesses a strong…
Lead generative AI and LLM projects for JPMorgan Chase, building retrieval-augmented systems, evaluations, and production pipelines using Amazon Bedrock and Cortex to improve banking operations.
Design and lead AI/ML architecture for aerospace and defense systems, including generative AI and MLOps, ensuring scalable, secure, and compliant solutions.
As an Applied Scientist II specializing in lead scoring and deep learning modeling, you will build and improve machine learning models that power how our business engages with customers. You will develop predictive…
Would you like to be a part of one of the most exciting companies in technology? NVIDIA, the world leader in Visual and Accelerated Computing, is seeking a Sales Account Manager with a proven track record in selling…
Build and deploy AI systems to automate and optimize NVIDIA’s chip-design workflows, including LLM-powered validation pipelines and cross-team AI integrations.
Build and deploy production-grade ML and LLM systems across multi-cloud, designing end-to-end pipelines and MLOps workflows with PyTorch/TensorFlow and cloud-native tooling.
Build and optimize AI/ML models for extracting structured data from unstructured documents using NLP, computer vision, and LLMs, and deploy scalable ML pipelines for high-volume processing.
Build and optimize data pipelines and cloud infrastructure for automotive content platforms using Python, AWS, Databricks, and Kubernetes.
CSI is seeking an AI Developer/Engineer to design, build, and optimize machine learning models and AI solutions supporting a federal client's AI Support Services program. This role integrates AI/ML capabilities…
Build and improve ML models for document verification, fraud detection, and biometric checks using Python, SQL, and cloud ML tools to enhance real-time identity trust infrastructure.
Research and optimize deep learning models for edge AI platforms using quantization, model compression, and efficient inference techniques in PyTorch and ONNX Runtime.
In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML…
Fine-tune open-source LLMs for regulatory-compliance chatbots and Q&A systems, pre-process large text datasets, and build production inference pipelines for a RegTech SaaS platform.
Build and deploy ML models and data pipelines to drive lending decisions and product strategy using Python, SQL, and Snowflake.
Build and optimize speech AI models for text-to-speech and speech-to-text to power AI-driven game characters and virtual worlds.
Design, build, and deploy AI models and algorithms for client needs, collaborating with data scientists and engineers to integrate AI into applications.
Design and deploy deep-learning perception models for automotive ADAS systems, optimizing neural networks for embedded hardware and real-time performance.
Build and deploy deep-learning models in Python (PyTorch/TensorFlow) that generate billions of supply-chain predictions daily, collaborating with engineering and product teams.
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