Dimension Data

1 week ago

SAP AI/ML Developer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

Design, develop, deploy, and maintain AI/ML solutions within the SAP ecosystem. Translate business needs into AI/ML applications and services, building data pipelines and MLOps/LLMOps workflows for model training, deployment, monitoring, and drift detection. Develop predictive, anomaly detection, conversational, and generative AI models using Python/R/Java and popular ML frameworks, integrating them with SAP (S/4HANA, BTP, AI Core, AI Launchpad) and external systems. Build cloud-native services using containers and CI/CD practices.

Location: Hyderabad

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, develop, deploy, and maintain AI/ML solutions within the SAP ecosystem.
•Translate business requirements into AI/ML applications and services and integrate them into enterprise SAP landscapes.
•Build data pipelines and model training/deployment workflows, including monitoring, optimization, and drift detection (MLOps/LLMOps).
•Develop AI/ML models for predictive analytics, anomaly detection, conversational AI, and generative AI using Python/R/Java and ML frameworks.
•Create cloud-native applications or microservices, integrate with SAP platforms and external systems via APIs/OData, and ensure scalability and reliability using CI/CD and testing.
•Support the AI/ML lifecycle from PoC to production and contribute to architecture documentation, design discussions, and AI/ML roadmap development.

Travel: Low travel

Key Requirements

•Bachelor’s or master’s 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, and experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
•Familiarity with cloud platforms (AWS, Azure, GCP, SAP Cloud Platform), container tools (Docker, Kubernetes), and data engineering concepts like ETL and big data technologies (Spark, Hadoop, Kafka).
•Strong software engineering best practices (CI/CD, Git, testing, modular design) plus communication and collaboration across cross-functional teams.

Experience:8-13 yearsAI/MLMachine learningData engineeringSAP ecosystemsCloud platforms

Education:Bachelor's

Skills:CommunicationCollaborationDocumentationDesign discussions

Tech Stack:SAPSAP AI/MLPythonRJavaNode.jsScalaTensorFlowPyTorchScikit-learnS/4HANASAP BTPAI CoreAI LaunchpadAPIsODataDockerKubernetesAWSAzure

Company Brief

Dimension Data

Dimension Data, operating under NTT Ltd, provides managed IT services, cloud and data center solutions, networking, cybersecurity, and digital transformation services to enterprise customers worldwide.

Industry: Professional Services

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Valuation: Public Company (Market Cap in USD)

Headquarters: London, United Kingdom

Founded: 1983

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

Dimension Data

1 week ago

SAP AI/ML Developer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

Location: Hyderabad

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, develop, deploy, and maintain AI/ML solutions within the SAP ecosystem.
•Translate business requirements into AI/ML applications and services and integrate them into enterprise SAP landscapes.
•Build data pipelines and model training/deployment workflows, including monitoring, optimization, and drift detection (MLOps/LLMOps).
•Develop AI/ML models for predictive analytics, anomaly detection, conversational AI, and generative AI using Python/R/Java and ML frameworks.
•Create cloud-native applications or microservices, integrate with SAP platforms and external systems via APIs/OData, and ensure scalability and reliability using CI/CD and testing.
•Support the AI/ML lifecycle from PoC to production and contribute to architecture documentation, design discussions, and AI/ML roadmap development.

Travel: Low travel

Key Requirements

•Bachelor’s or master’s 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, and experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
•Familiarity with cloud platforms (AWS, Azure, GCP, SAP Cloud Platform), container tools (Docker, Kubernetes), and data engineering concepts like ETL and big data technologies (Spark, Hadoop, Kafka).
•Strong software engineering best practices (CI/CD, Git, testing, modular design) plus communication and collaboration across cross-functional teams.

Experience:8-13 yearsAI/MLMachine learningData engineeringSAP ecosystemsCloud platforms

Education:Bachelor's

Skills:CommunicationCollaborationDocumentationDesign discussions

Tech Stack:SAPSAP AI/MLPythonRJavaNode.jsScalaTensorFlowPyTorchScikit-learnS/4HANASAP BTPAI CoreAI LaunchpadAPIsODataDockerKubernetesAWSAzure

Company Brief

Dimension Data

Industry: Professional Services

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Valuation: Public Company (Market Cap in USD)

Headquarters: London, United Kingdom

Founded: 1983

Website LinkedIn