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The SAP AI/ML Developer role at NTT DATA involves designing, developing, and maintaining AI and machine learning solutions within the SAP ecosystem. Candidates should have a strong background in software development, particularly in AI/ML and data engineering, with proficiency in programming languages such as Python and Java. A bachelor's or master's degree in a related field is required, along with 8 to 13 years of relevant experience. The position offers opportunities to work with cutting-edge technologies and collaborate with cross-functional teams. Preferred certifications include SAP BTP Developer and AI Foundation. Limited travel is required, and the role may involve remote or hybrid work arrangements.
Job Responsibility:
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
Requirements:
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:
Deep knowledge of SAP technologies: S/4HANA, SAP BTP, AI Core, AI Launchpad, Data Intelligence, SAP Analytics Cloud