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Design and optimize large-scale C++/Python frameworks for computer vision and AI, integrating libraries and ensuring performance across embedded, desktop, and cloud systems while contributing to open-source projects.
About the Company: Etegent Technologies is a defense-focused technology company with offices in Beavercreek and Blue Ash, OH. We are a multi-disciplinary team of engineers, scientists, and management professionals…
Senior ML engineer validates high-stakes financial models (credit, fraud, AML) and AI systems to prevent losses and regulatory violations, using Python, ML frameworks, and cloud tooling.
Leads the design, development, and deployment of ML models and generative AI systems to automate and enhance customer support across Block's brands like Cash App and Square.
OPPO US Research Center is seeking a talented and experienced backend engineer to join our growing team. In this pivotal role, you will be responsible for designing, developing, and maintaining scalable and…
Build and deploy ML models for marketing platforms like search ads, recommendations, and fraud detection to grow customer transactions and lifetime value.
Builds planning software (PlanPoint) for a robotic lung-biopsy system, designing C++ features and GUI prototypes to help physicians create 3D lung models from medical images.
Lead the development of breakthrough technologies that will shape the future of hearing healthcare. As a Senior Systems Engineer at Starkey, you'll drive product architecture and innovation from concept through…
Research and develop ML models for autonomous-vehicle prediction and planning using large-scale datasets and frameworks like PyTorch.
Senior engineer optimizing ML model deployment and performance on embedded AI hardware for autonomous vehicles, using C++, CUDA, and TensorRT in a Linux environment.
Build and improve ML models and data pipelines that power tutor-learner matching and marketplace safety in a global edtech platform using Python and PyTorch.
Data Scientist in McLean, VA builds and runs NLP models, analyzes large datasets, and creates reports for a government sponsor using Python, SQL, and deep learning frameworks.
Build and deploy ML models, analyze messy enterprise data, and create self-service analytics tools using Python, SQL, and cloud platforms.
Build and maintain Power BI dashboards and data models using Databricks, PySpark, and Azure to support business decisions and ML-driven forecasting for e-commerce and retail clients.
Research and develop deep learning models for autonomous vehicle systems, optimizing neural networks for Mobileye’s EyeQ chip and deploying production-ready AI solutions.
Lead end-to-end applied AI research and ML lifecycle for language models, fine-tuning, distillation, and production deployment to drive new product features and business impact.
Build and deploy multi-turn, conversational LLM-based support systems for Apple’s global customer service, integrating RAG, multi-agent orchestration, and multi-modal models.
Builds and deploys ML models end-to-end—from data pipelines to production inference—designing A/B tests and optimizing models for HR-product metrics.
OUR VISION When people use our technology to "bridge the gap" between the physical and digital worlds, they don’t just capture reality - they create a new one. In this new reality, they are smarter, more…
Consultant builds and implements AI and data-science solutions for clients, from prototypes to production, using Python, ML frameworks, and cloud platforms.
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