AI Engineer II – Machine Learning & Generative AI

About the role

Mastercard is looking for an AI Engineer II to design, develop, and deploy advanced AI solutions that support strategic initiatives across the AI & Data organization. You will work closely with senior AI engineers to translate business challenges into scalable, production‑ready models, focusing on transformer‑based and generative AI technologies.

Key responsibilities

• Develop and support AI/ML models under senior guidance.
• Design, fine‑tune, and operationalize transformer‑based and generative AI solutions, including embeddings and tokenization.
• Build and maintain data preparation, feature engineering, and model training pipelines.
• Create and manage datasets for training, validation, and evaluation.
• Implement and optimise model‑serving workflows and integrate AI models into APIs and production environments.
• Conduct model testing, validation, monitoring, and performance analysis.
• Apply software engineering and MLOps best practices such as version control, automated testing, documentation, and deployment automation.
• Collaborate with data engineers, software engineers, and product teams to deliver end‑to‑end AI solutions.
• Participate in code reviews, technical discussions, and knowledge‑sharing activities.

Required profile

• 2–5 years of experience in AI engineering, machine learning engineering, data science, or software engineering.
• Strong programming skills in Python.
• Experience with AI/ML frameworks such as PyTorch or TensorFlow.
• Familiarity with MLOps practices and production deployment of models.

Required skills

• Python
• PyTorch
• TensorFlow
• Transformer models
• Generative AI techniques
• MLOps tooling (version control, CI/CD, monitoring)
• Data preparation and feature engineering
• Model training pipelines
• API integration and model serving