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Business Unit/Role Specific Information The Enterprise Technology Services organization partners with every part of the American Express business to power the company’s growth and innovation with trust and efficiency,…
Become a part of our caring community Humana is seeking a Lead AI Engineer to provide technical leadership in the design, development, and scaling of production-grade Agentic AI solutions that accelerate AI for…
Senior Data Analyst III Do you like working with data and analytics to evaluate AI models and their performance? Do you love collaborating with teams to assess and improve generative AI solutions? About our Team…
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply,…
Develops and optimizes fraud strategies and rules for a payments ecosystem using SQL and data science methods to identify patterns and mitigate risk.
Lead a team building a next-gen GenAI Co-Pilot that delivers real-time intelligence and autonomous guidance for security analysts using LLMs, RAG, and agentic workflows.
Design and deploy end-to-end AI systems using LLMs, RAG, and Databricks for enterprise clients, building robust data pipelines and lakehouse architectures.
Build and deploy machine-learning models for credit risk, underwriting, and product optimization at a fast-growing fintech company using Python, SQL, and cloud tools.
Intern role ensuring high-quality annotated data for AI models by developing quality pipelines, SOPs, and evaluating outputs for Shopee’s e-commerce and AI systems.
Build full-stack web apps that integrate AI models and generative workflows, using React, Node.js/TypeScript, and AWS to ship production features end-to-end.
AT A GLANCE Data Scientist role with a strong applied AI and ML focus Python-first environment with modern LLM and ML tooling Hybrid working model with flexible arrangements Salary up to £80,000 depending on experience…
Builds and deploys a production-grade RAG system and AI chatbot using Python, FastAPI, LangGraph, and vector databases, integrating LLMs and enterprise data.
Build and deploy LLM-based regulatory change detection systems on Google Cloud to automate compliance workflows for banking clients.
Build and deploy production-grade AI/ML models (LLMs, NLP, CV, forecasting) to solve complex business problems, using Python, TensorFlow/PyTorch, and cloud ML platforms.
Build and deploy ML models for user personalization, engagement, and fraud prevention in a health-focused walking app used by 15M+ people.
Build and run the backend for a new generative-AI hub serving a financial-services firm; stack includes Azure, .NET/Node.js, vector search, agent orchestration, and Azure OpenAI.
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