NTT DATA is seeking an innovative Systems Integration Advisor to join our dynamic team. This role is central to establishing and advancing our AI and data analytics capabilities within a newly formed Center of Excellence. You will pioneer the development of groundbreaking AI-driven applications, setting robust engineering standards and shaping scalable processes crucial for long-term success.

As a key member of the CEO–Chairman Technology Team for Data Analytics and AI, you will be instrumental in leveraging modern AI engineering, data, and cloud toolkits. Your work will involve creating production-ready models, agents, and automation solutions that deliver sustainable business value and address current and future business needs.

Key responsibilities include designing and developing AI models, particularly in Natural Language Processing and Generative AI.

You will explore, implement, train, and evaluate AI models using Python and the Project Jupyter toolset, alongside their respective MLOps activities.

Develop self-service analytics solutions with Python and SQL, and adapt to hybrid and native cloud technologies like OpenShift and Google Cloud Platform.

Drive software engineering principles for building AI agents, adhering to market best practices and organizational procedures.

Enhance existing data-driven solutions for data ingestion, transformation, reporting, and machine learning capabilities, identifying automation opportunities. Shape future AI solutions from requirement definition to deployment.

Required skills include multiple years of experience as a data scientist or AI engineer, ideally utilizing Python, SQL, and Docker Micro Services.

Experience with development frameworks for both frontend and backend, such as Python Pandas, NumPy, and Flask, is essential.

Demonstrate deep knowledge of big data analytics/AI architectures, including Data Warehousing and ETL, within hybrid cloud environments, specifically OpenShift and Google Cloud Platform (GCP).

Multiple years of experience within the finance industry, internal audit functions, or highly regulated environments is considered a significant advantage.