SAP Senior Machine Learning Engineer - INT ABS – API Business Services

Job Overview

SAP is hiring a Senior Machine Learning Engineer for API Business Services at SAP Labs, Whitefield, Bangalore. The hybrid full-time role focuses on enterprise-grade AI/ML systems, GenAI applications, anomaly and fraud detection, recommendations, predictive insights, scalable ML pipelines and production MLOps.

Eligibility

SAP requires a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related discipline and 6–10 years of experience in Machine Learning Engineering, AI Engineering, Data Science, or related software engineering roles. The posting asks for strong programming, ML/GenAI, SQL and MLOps experience.

Skills Mentioned

Key Responsibilities

• 1Design, develop and deploy enterprise-grade machine learning solutions for anomaly and fraud detection, recommendations and predictive insights
• 2Build AI-native applications using LLMs, RAG, semantic search, embeddings, vector databases and agentic workflows
• 3Develop scalable data pipelines, feature-engineering frameworks, model-training workflows and real-time inference services
• 4Own the end-to-end ML lifecycle including experimentation, deployment, monitoring, drift detection, retraining and observability
• 5Optimize AI/ML workflows for scale, latency, infrastructure utilization and operational cost
• 6Partner with product, architecture, data and engineering teams while mentoring junior engineers and setting quality standards

Who Should Apply?

Experienced AI/ML engineers with 6–10 years of relevant experience, strong programming and SQL skills, hands-on production ML/MLOps expertise, and experience building GenAI applications should review this role.

Quick eligibility check

Eligibility at a Glance

These values come from the verified job record. Re-check the employer page before applying because requirements can change.

Role breakdown

What This Role Involves

The official listing is for Senior Machine Learning Engineer at SAP in Bangalore, Karnataka, India. Based on the published information, the main areas to review include Python, Java or Go, Machine Learning and Deep Learning, LLMs, RAG and agentic workflows, PyTorch, TensorFlow, Scikit-learn or XGBoost.

• Design, develop and deploy enterprise-grade machine learning solutions for anomaly and fraud detection, recommendations and predictive insights
• Build AI-native applications using LLMs, RAG, semantic search, embeddings, vector databases and agentic workflows
• Develop scalable data pipelines, feature-engineering frameworks, model-training workflows and real-time inference services

Employer information

About SAP on This Listing

SAP is the employer named on the official source used for this job. HD Careers verified this listing against jobs.sap.com. This section only shows facts available from the verified job record.

No other active listings from this company are currently published on HD Careers.

Resume & interview focus

Skills to Demonstrate

Use these as evidence prompts, not as keywords to add without real experience.

• Python, Java or Go

  This skill is mentioned for the role. If you include it on your resume, connect it to a real work, internship or project example you can explain.

• Machine Learning and Deep Learning

  This skill is mentioned for the role. If you include it on your resume, connect it to a real work, internship or project example you can explain.

• LLMs, RAG and agentic workflows

  This skill is mentioned for the role. If you include it on your resume, connect it to a real work, internship or project example you can explain.

• PyTorch, TensorFlow, Scikit-learn or XGBoost

  This skill is mentioned for the role. If you include it on your resume, connect it to a real work, internship or project example you can explain.

• MLOps and CI/CD

  This skill is mentioned for the role. If you include it on your resume, connect it to a real work, internship or project example you can explain.

• SQL and large-scale datasets

  This skill is mentioned for the role. If you include it on your resume, connect it to a real work, internship or project example you can explain.

Preparation

Before You Apply

• 1Review your hands-on examples for Python, Java or Go, Machine Learning and Deep Learning, LLMs, RAG and agentic workflows.
• 2Prepare one clear example related to this responsibility: Design, develop and deploy enterprise-grade machine learning solutions for anomaly and fraud detection, recommendations and predictive insights.
• 3Keep your employment dates, degree details and contact information consistent across your resume and the employer application form.
• 4Use the official employer page as the final source if any requirement, deadline or application step changes.

Common questions

Job FAQ

HD Careers original resources

Useful Before You Apply

Source & Verification

Source: Official SAP Careers job page – Reference REF1744Y

Last checked by HD Careers: 01 Oct 2026

Job information can change after publication. The employer's official page is the final source for eligibility, deadlines and application availability.

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