SAP AI/ML Developer **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. + 3 - 5 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.