Описание
Global Payments provides payment services and technology solutions.
Задачи
- Assess, design, build, optimize, and deploy ML/AI and foundation models for real-world applications
- Research and evaluate emerging AI technologies and models, prototype new AI capabilities, and run proof-of-concepts
- Collaborate with business and technology teams to identify high-value use cases
- Drive innovation through experimentation, knowledge sharing, and continuous learning
- Help define best practices, technical standards, and reusable patterns for AI development across the organization
- Develop agentic AI workflows using orchestration frameworks such as LangChain or similar
- Develop and maintain AI system blueprints, integrate them with existing infrastructure, and optimize performance and scalability
- Embed compliance, observability, and scalability in design decisions
- Drive best practices for AI model deployment, monitoring, and continual improvement
- Ensure AI solutions comply with organizational security, ethical guidelines, and regulatory standards
- Collaborate with engineering, product, and business teams to identify and deliver high-impact AI opportunities
- Stay up to date with advancements in AI, foundation models, and autonomous agents
Требования
- 5+ Years of experience in AI, Machine Learning, Data Science, or related fields
- Strong Python skills and experience with PyTorch, TensorFlow, and Hugging Face
- Experience taking AI proof-of-concepts from idea to production
- Strong knowledge of deep learning, NLP, and LLM architectures
- Experience fine-tuning LLMs or training domain-specific models, and with RAG, embeddings, and vector databases
- Familiarity with agentic AI concepts and orchestration frameworks
- Experience deploying AI solutions on Azure, AWS, or GCP
- Strong problem-solving skills and a passion for innovation
- Excellent communication and collaboration skills
- A curious, hands-on mindset and a desire to experiment, learn, and build
- Nice to have: Experience with multimodal AI, AI governance, or MLOps
- an advanced degree in AI, Computer Science, Data Science, or related disciplines
- AI/ML research, publications, patents, or open-source contributions
- knowledge of payments, fintech, or financial services
Условия
No conditions specified
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