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Build and deploy AI agents, ML models, and agentic workflows to automate FPGA testing and development using Python, LLMs, and RAG pipelines.
Designs and leads enterprise-grade data and AI solutions for Prudential, focusing on cloud-native architectures, Databricks-based lakehouses, ETL/ELT pipelines, and Agentic AI for insurance and corporate functions.
Lead a team to design and deploy AI/ML, Generative AI, and Agentic AI solutions on AWS and GCP for healthcare use cases, ensuring compliance and rapid delivery of production-grade systems.
Designs and governs enterprise AI architecture, including generative and agentic systems, ensuring secure, compliant, and scalable adoption across the organization.
Lead the AI and data roadmap for banking clients, translating business needs into GenAI and analytics solutions while ensuring compliance and driving adoption across teams.
Architect enterprise-grade data and AI solutions for Prudential’s insurance business, designing cloud-native platforms, ETL/ELT pipelines, and Agentic AI systems while ensuring governance and scalability.
Principal AI Engineer designs and owns the shared AI architecture for multi-agent marketing systems, retrieval pipelines, and evaluation frameworks that power SMB-focused products at scale.
Designs and implements AI/ML and generative AI solutions for enterprise clients, focusing on architecture, LLM/RAG pipelines, and MLOps—collaborating with data and product teams to scale AI from proof-of-concept to production while ensuring security, governance, and cloud platform integration.
Lead generative AI initiatives for marketing and customer experiences, designing LLM-based solutions and data strategies to transform client outcomes.
Vice President, Production Services Infrastructure Support At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart…
Build and deploy Python-based AI and analytics solutions to transform financial data into actionable insights for Parameta Solutions, leveraging AWS and generative AI.
Design and implement scalable MLOps/LLMOps pipelines on AWS, including SageMaker, EKS, and CI/CD, to deploy and monitor production-grade AI models for enterprise clients.
Build and deploy production-grade ML systems for pharma manufacturing, quality, and supply chain at Roche, using Python, MLOps, and AWS.
This role is eligible for our hybrid work model: 2 days in-office This job posting is for an existing, currently vacant position. Staff Portfolio Release Manager Our Technology team is the backbone of our company:…
A Senior Data Scientist at Caesars Entertainment's Sportsbook team designs and deploys predictive and pricing models for real-time odds and risk management, using Python and machine learning to analyze sports data and collaborate with trading and engineering teams.
Develops AI-driven backend services and agent orchestration systems for edge-cloud integration, focusing on LLMs, tool use, and real-time inference while collaborating with researchers and engineers.
Lead the design and deployment of advanced AI/ML models and statistical solutions for government missions, working on-site to extract insights from complex datasets using Python, R, and SQL.
Lead the machine-learning systems that rank, recommend, and retrieve restaurants and menu items for millions of diners, using deep learning, embeddings, and LLMs to optimize conversion and long-term value.
Develops AI-driven backend services and agent orchestration systems for edge-cloud integration, optimizing LLMs, APIs, and real-time inference pipelines to enhance HP’s intelligent devices and workflows.
Job Description We are seeking experienced AI Engineers / Agentic AI Developers to design, develop, and deploy enterprise-grade AI solutions with a focus on Agentic AI , Large Language Models (LLMs) , and…
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