Location
Hyderabad, Telangana (IN-TG), India (IN)
Day‑to‑Day Job Duties
- The SAP AI/ML Developer designs, develops, deploys, and maintains AI and machine learning solutions within the SAP ecosystem.
- Translates business requirements into applications and services leveraging SAP platforms, AI/ML frameworks, and integrates them into enterprise SAP landscapes.
- Collaborates with solution architects, data scientists, SAP consultants, and business stakeholders to translate requirements into AI/ML solutions.
- Designs and builds data pipelines, model training/deployment workflows, and monitoring processes (MLOps/LLMOps).
- Develops AI/ML models (predictive analytics, anomaly detection, conversational AI, generative AI) using Python, R, or Java and frameworks such as TensorFlow, PyTorch, Scikit‑learn.
- Integrates AI/ML services with SAP platforms (S/4HANA, SAP BTP, AI Core, AI Launchpad) and external systems using APIs or OData.
- Develops cloud‑native applications or microservices using Docker/Kubernetes and deploys on AWS, Azure, GCP, or SAP Cloud Platform.
- Ensures scalability, reliability, and maintainability of AI solutions using CI/CD, automated testing, and version control best practices.
- Supports AI/ML lifecycle from PoC to production and manages optimization and drift detection.
- Participates in architecture documentation, design discussions, and AI/ML roadmap development.
- Stays updated with SAP intelligent technologies and emerging AI/ML trends.
Basic Qualifications
- 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.
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 developing full‑stack applications on BTP using CAP and/or RAP frameworks.
- Hands‑on experience in BTP Process Automation, RPA bot development is an advantage.
- SAP or AI‑related certifications (e.g., SAP BTP Developer, AI Foundation).
- Understanding of data governance, privacy, and compliance frameworks.
Travel
This position requires limited or no travel.
Equal Opportunity Employer Statement
NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.