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Build and own production ML/AI components for Amgen’s AI Studio, including GenAI, RAG, and retrieval systems, using Python, SQL, and cloud services.
Senior ML engineer building and scaling enterprise-grade AI/ML platforms, MLOps pipelines, and GenAI services for a global biotech company.
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 deploy LLM-powered assistants, RAG apps, and AI agents on enterprise platforms like ChatGPT Enterprise and AWS Bedrock, using Python, TypeScript, React, and cloud-native tooling.
Manages end-to-end delivery of GenAI assistants, RAG solutions, and AI automation projects, coordinating cross-functional teams across Portugal, the US, and India using Agile/Scrum methodologies.
Senior ML engineer building and scaling enterprise-grade AI/ML and GenAI platforms, including MLOps pipelines, model services, and full-stack applications for Amgen’s healthcare data needs.
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 AI-powered data platforms and applications for Disney’s vacation brands, designing end-to-end data pipelines and cloud-native solutions using Python, Spark, and cloud services.
Lead architecture and delivery of Bleacher Report’s fan-facing sports experiences and real-time data platforms, using GraphQL, TypeScript/Node.js, Kafka, and React-native mobile/web clients.
Zions Bancorporation’s Enterprise Technology and Operations (ETO) team is transforming what it means to work for a financial institution. With a commitment to technology and innovation, we have been providing our…
Work where work matters. We are a global technology group built for what's next, offering high calibre professionals the platform for high stakes work, the kind of work that defines an entire career. When you join…
Lead the design and deployment of RAG and Agentic AI systems for a legal and regulatory intelligence platform, working hybrid in Raleigh.
Build and scale Reddit’s next-gen AI-powered search engine, integrating LLMs and retrieval systems to deliver conversational answers and improve relevance for millions of daily users.
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.
Senior Data Scientist builds AI-driven research tools using retrieval-augmented generation and NLP to analyze legal and regulatory documents in a hybrid role based in Charlotte.
Develops AI/ML tools (LLMs, RAG systems) to enhance vulnerability detection and certification processes for federal government clients, focusing on LLM orchestration, data pipelines, and secure deployment.
Lead a team to build governed data products and AI-enabled workflows in Snowflake, Databricks, and dbt, translating business needs into analytical solutions and automations.
Build and operate AI-driven Digital Twin systems for electric vehicles, using Python, OpenModelica, and LLM tooling to simulate, test, and validate vehicle controls and infotainment before hardware is available.
Builds and deploys autonomous AI agents, multi-agent systems, and generative AI solutions using frameworks like LangChain, AutoGen, and Azure OpenAI to automate enterprise workflows, enhance decision-making, and deliver scalable AI-driven business value.
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