FIND_THE_RIGHTJOB.
SAP AI/ML Developer
JOB_REQUIREMENTS
Hires in
Not specified
Employment Type
Not specified
Company Location
Not specified
Salary
Not specified
SAP AI/ML Developer
Day to Day job Duties:
Basic Qualifications: Must Have's
Travel: This position requires limited or No travel.
Nice to Have (but not a must):
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.
© 2025 Qureos. All rights reserved.