SAP AI/ Developer

NTT DATA BUSINESS SOLUTIONS; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

NTT DATA BUSINESS SOLUTIONS is seeking an experienced SAP AI/ML Developer for offshore delivery in India. The role focuses on designing, developing, deploying, and maintaining AI/ML solutions within the SAP ecosystem.

You will translate business requirements into applications leveraging SAP platforms and AI/ML frameworks, collaborating with architects, data scientists, SAP consultants, and stakeholders. Experience with cloud-native apps, MLOps, and SAP integration is essential.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

Java

Node.js

Scala

TensorFlow

PyTorch

Scikit-learn

AWS

Azure

GCP

SAP Cloud Platform

Docker

Kubernetes

ETL

Spark

Hadoop

Kafka

CI/CD

Git

Education

Bachelors or Masters in Computer Science/Data Science/Engineering

Tools

Docker

Kubernetes

SAP S/4HANA

SAP BTP

AI Core

AI Launchpad

Data Intelligence

SAP Analytics Cloud

CAP

RAP

Jenkins

Job description

Job Summary

SAP AI/ML Developer Job Description (Offshore 8-13 yrs.)

Responsibilities

• 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 Haves

• Bachelors or masters 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.

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.