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Build and deploy ML models for demand forecasting, customer experience, and operations optimization in a B2B and digital-commerce setting using Python, SQL, and MLOps pipelines.
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.
Lead a team applying AI/ML to marketing, audience modeling, and healthcare analytics at GoodRx, building models that drive prescription savings and business decisions using Python, Spark, and cloud platforms.
Lead a team building and scaling machine-learning systems in Python and AWS to deliver hyper-personalized marketing messages across channels, while ensuring model governance and responsible-AI practices.
Build and deploy end-to-end ML and Generative AI solutions for enterprise-scale problems in commercial operations, supply chain, and customer experience using Python, TensorFlow/PyTorch, and LLM frameworks like LangChain.
Sobre a Accenture A Accenture ajuda as principais empresas do mundo a se reinventarem, construindo seu núcleo digital e liberando o poder da IA para gerar valor com rapidez em organizações de todos os setores. Nossa…
Build and deploy ML models to predict customer churn and personalize marketing at Verizon, using Python, SQL, and cloud tools like GCP/AWS.
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.
Architect and build high-scale, cloud-native analytics and security telemetry systems using Go, Python, and distributed microservices to process millions of records for global enterprises.
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.
Builds and promotes Intel’s AI PC SDK and tools, creates tutorials, and advocates for developers by engaging with communities and presenting at events.
Build and maintain secure, AI-powered tools for application security at a major bank, using Python, REST APIs, and cloud platforms to automate security processes and mentor teams.
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.
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