ai engineer in payments

Описаниеglobal Payments
London, UK
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Adobe InDesign Artificial Intelligence Amazon Web Services Microsoft Azure Python (Programming Language) Machine Learning Natural Language Processing Open Source Technology Payment Service Provider Tensorflow Pytorch Large Language Models
+3 more
Deep Learning Information Technology Machine Learning Operations

Job description

ОписаниеGlobal Payments provides payment services and technology solutions.ЗадачиAssess, design, build, optimize, and deploy ML/AI and foundation models for real-world applicationsResearch and evaluate emerging AI technologies and models, prototype new AI capabilities, and run proof-of-conceptsCollaborate with business and technology teams to identify high-value use casesDrive innovation through experimentation, knowledge sharing, and continuous learningHelp define best practices, technical standards, and reusable patterns for AI development across the organizationDevelop agentic AI workflows using orchestration frameworks such as LangChain or similarDevelop and maintain AI system blueprints, integrate them with existing infrastructure, and optimize performance and scalabilityEmbed compliance, observability, and scalability in design decisionsDrive best practices for AI model deployment, monitoring, and continual improvementEnsure AI solutions comply with organizational security, ethical

Requirements

guidelines, and regulatory standardsCollaborate with engineering, product, and business teams to identify and deliver high-impact AI opportunitiesStay up to date with advancements in AI, foundation models, and autonomous agentsТребования5+ Years of experience in AI, Machine Learning, Data Science, or related fieldsStrong Python skills and experience with PyTorch, TensorFlow, and Hugging FaceExperience taking AI proof-of-concepts from idea to productionStrong knowledge of deep learning, NLP, and LLM architecturesExperience fine-tuning LLMs or training domain-specific models, and with RAG, embeddings, and vector databasesFamiliarity with agentic AI concepts and orchestration frameworksExperience deploying AI solutions on Azure, AWS, or GCPStrong problem-solving skills and a passion for innovationExcellent communication and collaboration skillsA curious, hands-on mindset and a desire to experiment, learn, and buildNice to have: Experience with multimodal AI, AI governance, or MLOpsan advanced degree in AI, Computer Science, Data Science, or related disciplinesAI/ML research, publications, patents, or open-source contributionsknowledge of payments, fintech, or financial servicesУсловияNo conditions specified #J-18808-Ljbffr

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