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Lead AI/ML engineering for Responsible AI solutions, designing and deploying ethical, explainable models while mitigating bias and privacy risks for enterprise clients.
Build and maintain AI model validation, optimization, and safety systems at scale, including quantization, security scanning, and guardrails for production deployment.
Build and deploy ML models to predict customer churn and personalize marketing at Verizon, using Python, SQL, and cloud tools like GCP/AWS.
Build and deploy AI models for government security missions, using Python, PyTorch/TensorFlow, and ML ops pipelines to turn data into actionable insights.
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.
Design and deploy AI/ML solutions on GCP for payments, including Vertex AI, BigQuery, and MLOps pipelines, while collaborating with data scientists and engineers.
Build and own full-stack AI applications for Amgen’s AI Studio, integrating LLMs, RAG, and automation into production systems using modern JavaScript/TypeScript, Python, and cloud services.
Build and own production ML/AI components for Amgen’s AI Studio, including GenAI, RAG, and retrieval systems, using Python, SQL, and cloud services.
Build and deploy production ML and GenAI components—models, RAG systems, agents, and pipelines—using Python, SQL, and cloud services to power Amgen’s healthcare-focused AI products.
Build and own full-stack AI-enabled applications for Amgen’s AI Studio, integrating LLMs, RAG, and automation into production healthcare systems using modern web and cloud technologies.
Build advanced statistical and ML models to forecast drug demand and guide Amgen’s supply and commercial planning using Python, Bayesian methods, and time-series tools.
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.
Senior AI Engineer designs and deploys LLM agents and AI/ML pipelines for enterprise clients, leading full-stack integrations and mentoring teams while bridging technical and business domains.
Senior AI Engineer designs and deploys AI-powered solutions for clients, leading integrations, architecture, and mentoring teams while bridging technical and business needs.
The Position A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we…
Build, train, and deploy AI models (ML, DL, generative, RAG, agents, computer vision) in Python, then wrap them in APIs for production use.
Summary Yelp engineering culture is driven by our values: we’re a cooperative team that values individual authenticity and encourages creative solutions to problems. All new engineers deploy working code their first…
Research and develop tactile AI systems for robotics, integrating machine learning, haptics, and control to enhance perception and manipulation in Apple’s ecosystem.
Build and scale AI agents that automate healthcare workflows using TypeScript, Node.js, and LLM tooling like RAG, integrated with EHRs and deployed on Kubernetes.
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