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Develop control-plane and data-plane software for Cisco’s industrial IoT networking products, focusing on cellular, wireless, and satellite communications using C/C++ and Linux kernel internals.
Builds and deploys transformer-based generative AI and NLP systems using PyTorch, LangChain, and vector databases to extract insights from financial data for the PitchBook platform.
Lead AI and data analytics transformation for Flex’s Internal Audit, building ML models for anomaly detection and NLP for control testing, and mentoring a team to embed AI into global audit practices.
Designs and optimizes large language models (LLMs) for natural language processing, including neural network architecture and large-scale data training, while leading cross-functional teams and mentoring junior engineers.
Lead AI-driven data science initiatives for Visa’s global post-purchase platform, building ML/NLP models and GenAI products to enhance dispute resolution and payments innovation.
Build and deploy advanced AI/ML models for cancer diagnostics, leveraging genomic and clinical data to improve early detection and precision oncology outcomes.
Senior AI/ML engineer building models for cancer diagnostics and precision oncology using Python, TensorFlow/PyTorch, and generative AI techniques to analyze biological and clinical data.
Lead the design, development, and deployment of AI/ML models (including GenAI and LLMs) for healthcare applications, ensuring scalable, reliable pipelines and alignment with business goals.
Lead a generative-AI architecture team to design and deploy scalable, secure AI systems on AWS/Azure using Terraform, integrating LLMs and other AI models into enterprise platforms.
Build ML/NLP models and automate data pipelines to support national security projects using Python, SQL, AWS, and visualization tools.
Build and deploy full-stack data and AI applications for satellite operations, integrating generative AI models and data pipelines in a secure industrial environment.
Build and deploy ML/DL models and data pipelines to process satellite telemetry, quality-control images, and production logs for Thales’ space systems, using Python, TensorFlow/PyTorch, and cloud tools.
Senior role leading AI/ML strategy and enterprise architecture for a federal client, designing secure, scalable solutions across hybrid-cloud environments and guiding teams on modern AI adoption.
Design AI-powered voice interfaces and multimodal workflows for mission-critical public-safety apps, collaborating with researchers and engineers to create intuitive, trustworthy user experiences.
Line of Service Advisory Industry/Sector Not Applicable Specialism Managed Services Management Level Senior Associate Job Description & Summary At PwC, our people in customer consulting specialise in providing…
Legal Innovation through Frontier Technology Lab (liftlab), Stanford Law School The expected pay range for this position at the Law School is $144,362 to $199,386 per annum. Stanford University provides pay ranges…
Njuškalo is the largest Croatian marketplace with more than 1.1 million active users. We provide our users a simple and intuitive platform for buying and selling, and our employees with a pleasant business environment,…
Role Overview We are looking for an experienced GenAI / AI-ML Engineer with strong hands-on expertise in Python, machine learning, deep learning, Large Language Models, Retrieval-Augmented Generation, and agentic AI…
Senior ML Engineer, Clinical Automation Hybrid in Palo Alto (Mon / Wed / Thurs) · $170K–$230K base + meaningful early-stage equity + full benefits About Sodalis Specialty pharmacy is where the most complex and…
Research and develop AI models for enterprise use cases, focusing on GenAI, NLP, and agentic AI systems.
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