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.