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Build and secure AI/ML systems for national defense, including LLM apps, predictive models, and adversarial defenses, using Python, TensorFlow/PyTorch, and edge deployment tooling.
Build and deploy ML models to personalize Autodesk’s B2C eCommerce experience, from segmentation and recommendations to A/B testing and churn prediction.
Perform penetration tests and red-team exercises across AI systems, mainframes, cloud platforms, APIs, and enterprise apps to uncover vulnerabilities before adversaries do.
Design and deploy enterprise-grade AI systems—including LLMs, vision models, and robotics—from research to production, ensuring scalability, security, and alignment with business goals.
Design and deploy enterprise-grade AI systems—from LLMs and multimodal models to robotics and edge AI—guiding the full lifecycle from research to production while aligning with business goals and governance.
Build and maintain AI model validation, optimization, and safety systems at scale, including quantization, security scanning, and guardrails for production deployment.
Designs and leads enterprise-scale .NET/Python architectures for PNC’s lending tech, focusing on cloud-native microservices, AI/ML integration (LLMs, agents), and modernizing legacy systems to improve operational efficiency and customer experience.
Principal AI/ML Engineer designs and deploys predictive models and LLMs to automate hardware/firmware validation, root-cause analysis, and test optimization for Micron’s semiconductor platforms.
Builds AI-powered features for an ad-tech platform, leading agentic workflows and intelligent automation to enhance ad buying/selling across video content and screens.
Leads ML engineering for AI Canvas, designing and refining neural architectures (e.g., transformers, GANs) to build scalable, efficient predictive models for real-world deployment across cloud and edge.
Build, deploy, and monitor ML models and MLOps pipelines on AWS for forecasting and GenAI apps in a biotech setting.
Designs and leads enterprise-scale .NET/Python architectures for PNC’s lending tech, focusing on cloud-native, AI-driven solutions, microservices, and event-driven systems to modernize legacy platforms and drive business growth.
Build and operate ML infrastructure for drug-discovery models, deploying GPU-backed services, LLMs, and agentic workflows on AWS/Kubernetes while ensuring reliability, observability, and lifecycle management.
Designs and deploys production-grade generative AI systems on Databricks for enterprise clients, focusing on RAG pipelines, LLM orchestration, and vector search while leading technical delivery.
Principal Security Researcher builds and improves an AI-powered system to discover, validate, and fix software vulnerabilities across languages and frameworks, combining deep vulnerability research with agentic AI experimentation.
The world of digital assets is accelerating in speed, magnitude, and complexity, opening the door to new ways for leveraging the blockchain. Fireblocks’ platform and network provide the simplest and most secure way for…
About the role We are seeking a data scientist to advance our cell profiling and computational microscopy platform, transforming large-scale imaging data into biological insight. You will work closely with biologists,…
Build and ship AI-driven decisioning systems that optimize healthcare reimbursement workflows, running experiments and productionizing models to improve pricing, offer behavior, and operational outcomes.
Lead a team of ML engineers and architects at an AI-first cloud services company, owning hiring, team growth, and complex customer engagements while shaping AI/ML architectures and driving pre-sales.
Design, develop, and deploy generative AI and machine learning models to drive business value, owning the full lifecycle from discovery to production monitoring.
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