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Build predictive models and data pipelines to extract insights from large banking datasets, using Python, SQL, and ML techniques to drive decisions in risk, customer, and commercial domains.
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.
Oracle Customer Success Services (CSS) is seeking a Senior Principal Forward Deployed Engineer to lead the delivery of strategic AI and data transformation programs for Oracle's largest enterprise customers. This…
Build and own end-to-end AI products from problem framing to production deployment, focusing on GenAI, RAG, agents, and MLOps for Amgen’s healthcare domain.
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 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.
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.
Build and deploy ML models for UK government programmes, collaborating with engineers and stakeholders to turn data into actionable insights using Python and cloud tools.
Builds and maintains scalable data pipelines, feature stores, and ML infrastructure for RBC’s AI-driven underwriting; specializes in PySpark, cloud (AWS/Azure), DevOps, and data governance to support risk analytics and regulatory compliance.
Lead a team to build and maintain scalable data pipelines, feature stores, and MLOps solutions for AI-driven credit underwriting at a major bank, using Python, PySpark, and cloud platforms.
The AAR Parts Supply Distribution Analytics Team are developing an AI-driven aviation market intelligence tool designed to transform how aviation parts distribution businesses understand market share, identify growth…
Build and deploy data models to analyze credit risk, detect fraud, and improve authentication systems using statistical and ML techniques.
Build and deploy AI/ML models using Azure Open AI and Python to improve business efficiency and customer experience across units.
Senior Data Engineer - Philadelphia, 19109, United States of America How we LEAD: We are seeking an experienced and driven Senior Data Engineer Enterprise Data Products within the Global Data & Analytics team. You…
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.
Own the product strategy and roadmap for recommendation systems that personalize health and wellness guidance, partnering with AI/ML and behavioral science to drive engagement and behavior change.
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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