Systems Integration Specialist Advisor
Confirmed on the employer's own hiring board on Oct 31, 2026. First seen by Alion on Oct 24, 2026. NTT DATA scores A on the Alion truth index.
Req ID: 385356
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Systems Integration Specialist Advisor to join our team in Pune or Bangalore, Mahārāshtra (IN-MH), India (IN).
Role Description
The Senior AI Engineer designs, builds, and operates high-quality, scalable AI solutions to meet current and future business needs of internal stakeholders in a timely manner. They leverage modern AI engineering, data, and cloud toolkits to develop production-ready models, agents, and automation solutions that create sustainable business value. Reporting to the Team Leader of the Data and AI team in Berlin, the AI Engineer will be a member of the newly established CEO-Chairman Technology Team for Data Analytics and AI.
This Center of Excellence enables all CEO Chairman functions through AI engineering, advanced analytics, and automation solutions. As part of a newly founded team, the Senior AI Engineer will pioneer the development of innovative AI-driven applications, establish robust engineering standards, and help shape scalable, effective processes that will be instrumental to the long-term success of the function.
Your key responsibilities
- Design and Development of AI models in particular within area of Natural Language Processing and GenerativeAI
- Broad knowledge to explore, implement, train and evaluate identified AI models and their respective MLOps activities with Python and Project Jupyter toolset.
- Deep experience in developing self-service analytics solutions using Python and SQL.
- Adopt to hybrid and native cloud technologies with OpenShift and Google Cloud Platform.
- Driving software engineering principles to build AI agents (i.e. MCP server) within the team adopting market’s best practices alongside with DB’s principles and procedures to deliver high-quality solutions through coding, system testing and documentation.
- Enhance existing data-driven solutions regarding data ingest, transformation, reporting and machine learning capabilities. Identify automation opportunities and develop solutions that simplify data delivery processes and make them more efficient with AI workflows.
- Knowledge in product management to shape future AI solutions based on entire lifecycle from defining requirements with stakeholders until their deployment of implemented features.
Your skills and experience
- Multiple years’ experience as data scientist or AI engineer ideally using Python, SQL and Docker Micro Services
- Experience on development frameworks for both frontend and backend (e.g. Python Pandas, NumPy, Flask)
- Deep knowledge of big data analytics/AI architectures (i.e. Data Warehousing, ETL) on hybrid cloud environments in particular OpenShift and Google Cloud Platform (GCP)
- Multiple years of experience in finance industry, internal audit functions or highly regulated environments is considered a plus
About NTT DATA
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
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