Senior AI Engineer, AI Engineering
On-sitePune, Maharashtra, India
Job Summary
Implement multi-agent intelligence frameworks and design multi-modal AI pipelines combining text, image, tabular, and graph data using transformer-based architectures. Build scalable RAG and Graph-RAG systems integrating vector stores and knowledge graphs to enable contextual retrieval and entity-aware reasoning. Develop transformer-based models for NLP, vision-language understanding, and sequential prediction tasks while establishing end-to-end LLMOps and MLOps pipelines on Databricks. Engineer state and memory management subsystems and apply statistical modeling techniques alongside deep learning for hybrid interpretability. Implement responsible AI practices including bias detection, explainability dashboards, and performance governance. Lead the ML engineering team to execute on AI/ML strategy, foster technical excellence, and ensure delivery of secure, scalable software solutions within the Business & Market Insights group.
Required Qualifications
- Master's/bachelor's degree in computer science or engineering
- considerable work experience with a proven track-record of successfully leading and managing complex projects/products and delivering to aggressive market needs
- Expert-level hands on experience designing, building and deploying both conventional AI/ML solutions and LLM/Agentic solutions
- Strong analytical and problem-solving abilities
- quick adaptation to new technologies, methodologies, and systems
- Strong applied knowledge and hands on experience in advanced statistical techniques, predictive modelling, machine learning algorithms, GenAI and deep learning frameworks
- Experience with AI and machine learning platforms such as TensorFlow, PyTorch, or similar
- Strong programming skills in languages such as Python/SQL is a must
- Abide by Mastercard's security policies and practices
- Ensure the confidentiality and integrity of the information being accessed
- Report any suspected information security violation or breach
- Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines
Desired Qualifications
- Experience with data visualization tools (e.g., Tableau, Power BI)
- understanding of cloud computing services (AWS, Azure, GCP) related to data processing and storage is a plus
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