Company Description Visa is a world leader in payments and technology with over 259 billion payments transactions flowing safely between consumers merchants financial institutions and government entities in more than 200 countries and territories each year Our mission is to connect the world through the most innovative convenient reliable and secure payments network enabling individuals businesses and economies to thrive while driven by a common purpose - to uplift everyone everywhere by being the best way to pay and be paid Make an impact with a purpose-driven industry leader Join us today and experience Life at Visa The Client Services Data AI Solutions Team builds open trusted data and AI culture where the cost of curiosity is low and insights are actionable We govern transactional data and metrics deliver usable dashboards and certified data sources and apply analytics and AI to generate value We partner with stakeholders from executive leaders to customer-facing teams ensuring data and AI assets are reliable secure and embedded in daily work In this specialist role we are seeking a highly skilled AI Engineer to lead the development and integration of AI technologies into our Client Services operations This role focuses on leveraging generative AI machine learning operations MLOps AI model fine-tuning enrichment pipelines to enhance service delivery and predictive capabilities Responsibilities Establish data AI processes and automation aligned to business and technology requirements leveraging supported data platforms MLOps tooling and models Build production-grade AI services LLM-based applications RAG pipelines recommendation systems forecasting and classification Develop and maintain data models and schemas optimized for analytics ML feature stores and AI workloads Deliver data engineering and AI projects end to end ingestion modeling pipeline development feature engineering model training deployment and monitoring Use best practices in data architecture and governance and provide expertise in data modeling and MLOps Collaborate with cross-functional teams to translate requirements into data and AI solutions Implement data validation quality checks and model evaluation at each stage Apply Agile principles to plan build test and iterate data AI solutions document architectures dictionaries and models Communicate complex data and AI concepts clearly to technical and non-technical audiences Stay current on trends in cloud engineering distributed computing LLMs databases orchestration etc This is a hybrid position Expectation of days in office will be confirmed by your hiring manager Qualifications Basic Qualifications 2 years of work experience with a bachelor s degree in STEM field or an Advanced degree such as Masters in STEM Preferred Qualifications 3-5 years Expertise in SQL Python and relational databases Experience with Python ML AI frameworks scikit-learn PyTorch TensorFlow Experience in the core machine learning workflow including data handling cleaning wrangling feature engineering and modeling with algorithms like Linear Regression Decision Trees and XGBoost Knowledge using LLM ecosystems OpenAI Azure OpenAI Vertex AI fine tuning LLMs and using advanced AI techniques like RAG Knowledge of designing feature stores and ML-ready datasets Knowledge with large datasets using Hadoop Hive Spark Python pandas NumPy Presto and SQL Knowledge of orchestration and scheduling tools such as Airflow Understanding of data warehousing ETL ELT data modeling and data architecture Understanding of visualization tools Tableau QlikView Power BI Strong problem solving analytical skills and attention to detail Effective communicator of statuses issues and risks Team player and collaborator comfortable in a matrixed setting and with cross-functional delivery Additional Information Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law

📌 Data Scientist (Karnataka)
🏢 Visa
📍 Karnataka