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    Home/Jobs/AI Engineer

    AI Engineer

    Mastercard

    Pune
    3-5 years
    Today
    ₹13–25 LPA
    Full-time
    Onsite

    Skills Required

    Hugging Face
    Python
    SQL
    TensorFlow
    PyTorch
    LangGraph
    CrewAI
    AutoGen
    BERT
    CLIP
    LLaVA
    T5
    Whisper
    Neo4j
    AWS Neptune

    Description

    Mastercard is seeking a Lead Engineer, Machine Learning Engineering for Operational Intelligence Program within the Business & Market Insights (B&MI) group. This role will lead the ML engineering team to execute on AI/ML strategy for the program, enabling business growth, enhancing customer experience, and ensuring delivery of secure, scalable, and high-performing software solutions.

    Company: Mastercard

    Role: AI Engineer

    Location: Pune, India, 411006

    Experience:

    • 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

    Qualification:

    • Master's/bachelor's degree in computer science or engineering

    Responsibilities:

    • Implement multi-agent intelligence frameworks to enable reasoning, coordination, and adaptive decision-making across specialized AI agents
    • Design and operationalize multi-modal AI pipelines combining text, image, tabular, and graph data
    • Build scalable RAG and Graph-RAG systems integrating vector stores and knowledge graphs
    • Develop and productionize transformer-based models for NLP, vision-language understanding, and sequential prediction tasks
    • Implement advanced Python-based backend services for inference orchestration, async job handling, and distributed data workflows
    • Establish end-to-end LLMOps and MLOps pipelines on Databricks (AWS)
    • Apply traditional AI/ML and statistical modeling techniques alongside deep learning models for hybrid interpretability and explainability
    • Engineer state and memory management subsystems that preserve context, track embeddings, and enable agents to reason temporally across multiple modalities and interactions
    • Implement Responsible AI practices—bias detection, explainability dashboards, data ethics checks, and performance governance

    Nice to have:

    • Experience with data visualization tools (e.g., Tableau, Power BI)
    • Understanding of cloud computing services (AWS, Azure, GCP) related to data processing and storage

    More skills:

    Transformer-based architectures (BERT, CLIP, LLaVA, T5, Whisper), Databricks (AWS), MLflow

    Other:

    • 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

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Deep Neural Networks with PyTorch

    Coursera

    Hands-on PyTorch from tensors to CNNs and transfer learning.

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