AI Engineer 2

Mastercard is seeking an AI Engineer II to support the development and deployment of AI solutions that power strategic initiatives within the AI & Data organization. This role provides an opportunity to work on advanced AI technologies, including transformer-based and generative AI models, while contributing to the delivery of scalable, production ready solutions.

Role

In this role, you will contribute to the development, testing, and deployment of AI and machine learning solutions across the program. Key responsibilities include:

• Develop and support AI and machine learning models under the guidance of senior team members
• Contribute to the development and evaluation of transformer-based and generative AI solutions, including embeddings, tokenization, fine tuning, and inference workflows
• Build and maintain components of data preparation, feature engineering, and model training pipelines
• Assist in creating and managing datasets required for model training, validation, and evaluation
• Support the implementation and optimization of machine learning workflows and model serving solutions
• Help integrate AI models into applications, APIs, and production environments
• Support model testing, validation, monitoring, and performance analysis to ensure quality and reliability
• Apply established software engineering and MLOps best practices, including version control, testing, documentation, and deployment automation
• Collaborate with AI engineers, data engineers, software engineers, and product teams to implement AI solutions
• Troubleshoot issues related to model performance, data quality, and system functionality
• Participate in code reviews, technical discussions, and knowledge sharing activities
• Stay current with emerging AI technologies, frameworks, and engineering best practices

Qualifications

• 2-5 years of experience in AI engineering, machine learning engineering, data science, software engineering, or a related technical field
• Strong programming skills in Python
• Experience using AI/ML frameworks such as PyTorch, TensorFlow, or similar technologies
• Foundational understanding of machine learning, deep learning, and AI engineering concepts
• Familiarity with transformer architectures, large language models, tokenization techniques, embeddings, and generative AI technologies
• Experience working with data processing, feature engineering, and model training workflows
• Familiarity with model evaluation techniques and performance measurement
• Exposure to cloud-based development environments such as AWS, Azure, or GCP
• Understanding of software engineering fundamentals, including testing, version control, CI/CD principles, and code quality practices
• Familiarity with APIs and integrating machine learning models into applications is a plus
• Knowledge of data structures, algorithms, and scalable computing concepts
• Strong analytical and problem-solving skills
• Effective communication and collaboration skills, with the ability to work in a cross functional team environment
• Demonstrated ability to learn new technologies quickly and adapt to evolving technical requirements
• Bachelor's degree or equivalent practical experience in Computer Science, Engineering, Data Science, Mathematics, or a related field