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Build and lead the Android Google Dialer’s AI-driven calling platform, designing secure, personalized call experiences for over a billion users using Kotlin and on-device AI.
Designs and deploys AI-powered customer-facing agents for enterprise clients, integrating them into existing tech stacks and workflows.
Build AI/ML models to forecast demand, optimize staffing, and enable real-time decisions across Chase’s workforce operations using Python, Spark, and statistical methods.
Build and ship LLM-powered features and agentic workflows for financial risk management, integrating AI into a cloud platform used by banks and asset managers.
Leads advanced analytics and data science projects for JP Morgan’s internal audit team, prototyping AI/ML solutions to enhance control testing, efficiency, and risk insights—bridging technical expertise with stakeholder collaboration.
Build and deploy AI/ML models for financial applications, including NLP and Knowledge Graphs, on AWS while maintaining scalable cloud infrastructure and data pipelines.
Lead a team to design, build, and ship ML models and LLM/GenAI pipelines for a media-screening platform running on AWS, balancing classical and modern AI approaches.
Build and deploy NLP, deep learning, and RAG models to automate financial analytics workflows, integrating data pipelines and cloud MLOps on AWS.
Design and architect large language models (LLMs) to process and generate natural language, training on vast unlabeled text datasets and refining model performance.
Build statistical and ML models for healthcare analytics and pharma marketing mix modeling to optimize spend and strategy using Python, SQL, and cloud tools.
Build and deploy ML models to extract insights from financial data, collaborating with engineers to productionize solutions and drive business decisions.
Validate and improve Generative AI and Deep Learning models for a large bank, using Python, PyTorch, and cloud platforms to ensure compliance and performance.
Build, deploy, and monitor AI/ML models and MLOps pipelines for federal missions, integrating NLP, LLMs, and predictive analytics into secure enterprise systems.
Job Description Position Summary: As a Customer Support Agent at Research Solutions, you will take part in our customer care activities by providing detailed product information, resolving complex inquiries, and…
Lead a team to build and deploy large language model applications, fine-tune models, and create agentic AI systems for mission-critical government use cases.
Design and deploy cutting-edge AI/ML models, including LLMs and SLMs, to power next-gen customer-facing and operational solutions at Cisco’s CX AI Incubation team.
Principal ML Engineer designs, builds, and deploys production-grade AI systems using LLMs and deep learning, integrating agent workflows across GCP, AWS, and Azure.
Lead a team building generative AI and agentic systems for healthcare, including LLMs, RAG, and AI agents, from prototyping to production with MLOps and Responsible AI practices.
Design and fine-tune large language models to improve natural language understanding and generation for domain-specific tasks.
Design and implement AI/ML systems, including GenAI models and neural networks, to build production-ready applications and pipelines.
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