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Build and deploy ML models, optimization algorithms, and dashboards to analyze customer behavior and improve financial products using Python, R, SQL, Spark, TensorFlow, and Tableau.
Lead a team building geospatial and AI-powered telecom software using ArcGIS, React, Python, and Azure, optimizing network planning and asset management for AT&T.
Builds and deploys ML models and LLMs to analyze banking data, detect fraud, segment customers, and support risk decisions using Python, SQL, and cloud platforms.
Working student role supporting the development of multimodal AI models (LLMs) by preparing datasets, fine-tuning models, and managing cloud-based training pipelines.
Amazon Web Services is seeking a Generative AI Learning Solutions Architect to support our Global Government customers. Are you excited to help Government customers to leverage generative AI in their missions? Eager to…
Design and implement advanced image-processing and computer-vision algorithms (CNNs/SNNs) for next-gen EO/IR camera systems, integrating them into embedded hardware from concept to production.
Lead a team building AI/ML models for pattern recognition, anomaly detection, and predictive analytics to support military decision-making and survivability in surveillance environments.
Build AI-driven models for national security, analyzing geospatial and operational data to detect threats and support military decision-making using Python, SQL, and deep learning.
Build and deploy AI/ML models, LLM-powered apps, and agentic systems to solve industrial and sustainability challenges using Python, Spark, and cloud platforms.
Senior Data Scientist builds AI-driven retail-fashion models for demand forecasting, assortment planning, and generative AI reports using Python, TensorFlow/PyTorch, and AWS tools.
Lead end-to-end development of ML/AI models and statistical solutions to drive business decisions in a large CPG company, partnering with supply chain, marketing, and finance teams.
Build and deploy AI models for defense/intelligence missions using Python and PyTorch, from research to production deployment in Linux environments.
Build and deploy cutting-edge AI/ML models and LLM-driven applications for cybersecurity, focusing on AI safety, red-teaming, and scalable deployments to protect modern organizations.
Build and deploy next-gen AI/ML models for cybersecurity, focusing on LLM-driven applications, AI safety, and large-scale deployment to process trillions of daily security events.
Build and optimize generative AI models and inference pipelines for Snapchat’s AR and creative tools, delivering scalable, on-device experiences for millions of users.
Develops AI/ML models for a real-time blood analysis diagnostic platform, bridging clinical data science and medical device engineering to translate research into deployable, clinically validated software for inflammatory condition detection.
Build and deploy AI models for edge devices: port vision/speech models to NPU-enabled SoCs, extend AI tooling for hardware-aware development, and create reference designs for smart-home and surveillance use cases.
Design AI Engineer builds and deploys AI models for signal-based and edge applications, analyzing sensor data and integrating AI into embedded Linux systems.
Builds and maintains data pipelines, applies ML models, and creates dashboards to extract insights from utility and infrastructure datasets for public-sector stakeholders.
Build and maintain AI/ML systems that detect fraud and cyber threats in real time for Mastercard’s global payments network, using Python, PySpark, and MLOps tools.
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