SAP AI/ Developer

SAP AI/ML Developer Job Description (Offshore 3-5 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.
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• Translate business requirements into applications and services leveraging SAP platforms, AI/ML frameworks, and integrate them into enterprise SAP landscapes.
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• Collaborate with solution architects, data scientists, SAP consultants, and business stakeholders to translate requirements into AI/ML solutions.
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• Design and build data pipelines, model training/deployment workflows, and monitoring processes (MLOps/LLMOps).
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• 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.
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• Integrate AI/ML services with SAP platforms (S/4HANA, SAP BTP, AI Core, AI Launchpad) and external systems using APIs or OData.
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• Develop cloud-native applications or microservices using Docker/Kubernetes and deploy on AWS, Azure, GCP, or SAP Cloud Platform.
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• Ensure scalability, reliability, and maintainability of AI solutions using CI/CD, automated testing, and version control best practices.
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• Support AI/ML lifecycle from PoC to production and manage optimization and drift detection.
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• Participate in architecture documentation, design discussions, and AI/ML roadmap development.
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• Stay updated with SAP intelligent technologies and emerging AI/ML trends.
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Basic Qualifications: Must Have’s

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• Bachelor’s or master’s degree in computer science, Data Science, Engineering, or related field.
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• 3 - 5 years of software development experience, with strong exposure to AI/ML and data engineering.
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• Proficiency in Python, Java, Node.js, or Scala.
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• Experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn.
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• Familiarity with cloud platforms (AWS, Azure, GCP, SAP Cloud Platform) and container tools (Docker, Kubernetes).
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• Understanding of data engineering, ETL pipelines, and big data technologies (Spark, Hadoop, Kafka).
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• Proficiency with software engineering best practices (CI/CD, Git, testing, modular design).
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• Strong communication and collaboration skills across cross-functional teams.
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Travel: This position requires limited or No travel.

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Nice to Have (but not a must):

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• Deep knowledge of SAP technologies: S/4HANA, SAP BTP, AI Core, AI Launchpad, Data Intelligence, SAP Analytics Cloud.
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• DevOps knowledge (CI/ CD, Jenkins, Pipeline Management)
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• Knowledge of SAP UI5/Fiori for developing AI-enabled user interfaces.
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• Hands on experience development full stack application on BTP using CAP and/or RAP frameworks.
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• Hands-on experience in BTP Process Automation, RPA bot development is advantage
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• SAP or AI-related certifications (e.g., SAP BTP Developer, AI Foundation).
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• Understanding of data governance, privacy, and compliance frameworks.