Back
Tier-1 brand plus senior specialized ML/AI focus yields medium competition.
Highly specialized ML/AI and responsible-AI requirements increase industry-specific background sensitivity.
Senior Principal level and mandatory advanced ML/LLM production experience make hiring filters highly strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead the design and implementation of AI-based solutions within GBSC’s AI ecosystem at Mastercard.
Develop production-grade applications integrating machine learning, generative AI, and LLM-based models into APIs, services, workflows, and UIs.
Ensure operationalization, deployment, monitoring, and responsible AI practices including security, privacy, compliance, bias mitigation, and explainability for AI applications.
Expertise in integrating generative AI, LLMs, prompt engineering, and retrieval-augmented generation (RAG) architectures into business applications.
Experience deploying production-grade AI applications with evaluation, observability, and monitoring capabilities.
Strong software engineering skills in Python, Java, C#, or similar languages.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in advising and strategizing AI roadmaps and technology adoption in enterprise environments.
Familiar with cloud platforms such as AWS, Azure, or GCP, and containerized deployment environments.
Capable of leading and mentoring teams by sharing AI best practices and emerging trends; able to communicate effectively with senior leaders and work in global teams across time zones.