Req ID: 367629
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 SAP AI/ Developer to join our team in Hyderabad, Telangana (IN-TG), India (IN).
SAP AI/ML Developer Job Description (Offshore 8-13 yrs.)
Day to Day job Duties:
- The SAP AI/ML Developer is responsible for designing, developing, deploying, and maintaining AI and machine learning solutions within the SAP ecosystem.
- Translate business requirements into applications and services leveraging SAP platforms, AI/ML frameworks, and integrate them into enterprise SAP landscapes.
- Collaborate with solution architects, data scientists, SAP consultants, and business stakeholders to translate requirements into AI/ML solutions.
- Design and build data pipelines, model training/deployment workflows, and monitoring processes (MLOps/LLMOps).
- Develop AI/ML models (predictive analytics, anomaly detection, conversational AI, generative AI) using Python, R, or Java and frameworks such as TensorFlow, PyTorch, Scikit-learn.
- Integrate AI/ML services with SAP platforms (S/4HANA, SAP BTP, AI Core, AI Launchpad) and external systems using APIs or OData.
- Develop cloud-native applications or microservices using Docker/Kubernetes and deploy on AWS, Azure, GCP, or SAP Cloud Platform.
- Ensure scalability, reliability, and maintainability of AI solutions using CI/CD, automated testing, and version control best practices.
- Support AI/ML lifecycle from PoC to production and manage optimization and drift detection.
- Participate in architecture documentation, design discussions, and AI/ML roadmap development.
- Stay updated with SAP intelligent technologies and emerging AI/ML trends.
Basic Qualifications: Must Have’s
- Bachelor’s or master’s degree in computer science, Data Science, Engineering, or related field.
- 8 - 13 years of software development experience, with strong exposure to AI/ML and data engineering.
- Proficiency in Python, Java, Node.js, or Scala.
- Experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn.
- Familiarity with cloud platforms (AWS, Azure, GCP, SAP Cloud Platform) and container tools (Docker, Kubernetes).
- Understanding of data engineering, ETL pipelines, and big data technologies (Spark, Hadoop, Kafka).
- Proficiency with software engineering best practices (CI/CD, Git, testing, modular design).
- Strong communication and collaboration skills across cross-functional teams.
Travel: This position requires limited or No travel.
Nice to Have (but not a must):
- Deep knowledge of SAP technologies: S/4HANA, SAP BTP, AI Core, AI Launchpad, Data Intelligence, SAP Analytics Cloud.
- DevOps knowledge (CI/ CD, Jenkins, Pipeline Management)
- Knowledge of SAP UI5/Fiori for developing AI-enabled user interfaces.
- Hands on experience development full stack application on BTP using CAP and/or RAP frameworks.
- Hands-on experience in BTP Process Automation, RPA bot development is advantage
- SAP or AI-related certifications (e.g., SAP BTP Developer, AI Foundation).
- Understanding of data governance, privacy, and compliance frameworks.
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 RD.
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 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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