Senior Machine Learning Engineer - INT ABS – API Business Services

Join SAP's senior AI engineering network, collaborating across regions and shaping standards that elevate machine learning practices globally.

WHAT YOU'LL BUILD:

• As a Senior Machine Learning Engineer, you will contribute in spearheading architecture decisions and engineering best practices for AI/ML solutions.
• Lead the design, development, and deployment of enterprise-grade machine learning solutions focused on anomaly and fraud detection, intelligent recommendations, predictive insights, and AI-powered business applications.
• Design and operationalize ML systems across large-scale operational, transactional, telemetry, and time series business datasets using statistical, machine learning, and deep learning techniques.
• Build AI-native applications leveraging Large Language Models (LLMs), Retrieval Augmented Generation (RAG), semantic search, embeddings, vector databases, and agentic workflows.
• Develop scalable data pipelines, feature engineering frameworks, model training workflows, and real-time inference services.
• Own the end- to-end AI/ML lifecycle including experimentation, evaluation, deployment, monitoring, drift detection, retraining, observability, and performance optimization.
• Optimize and scale AI/ML workflows across thousands of tenants to reduce inference latency, infrastructure resource utilization, and operational costs.
• Partner with product managers, architects, data engineers, software developers and business stakeholders to translate business challenges into scalable AI/ML solutions.
• Mentor junior engineers and conduct code reviews while establishing quality standards.
• Define success metrics and evaluation frameworks for model performance, recommendation quality, ML application accuracy, and GenAI application reliability.
• Drive innovation through POCs, rapid prototyping, and adoption of emerging AI technologies.

WHAT YOU BRING:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related discipline
• 6-10 years of experience in Machine Learning Engineering, AI Engineering, Data Science, or related software engineering roles.
• Proficient in one of the following - Python, Java, Go, or similar languages.
• Hands-on experience with anomaly and fraud detection, recommendation systems, classification, clustering, forecasting, ranking, and predictive modeling.
• Applicable experience building GenAI applications using LLMs, embeddings, vector databases, RAG pipelines, context engineering, and agent frameworks.
• Experience with PyTorch, TensorFlow, Scikit-learn, XGBoost, and modern ML ecosystems.
• Robust knowledge of MLOps practices including CI/CD, model registries, experiment tracking, feature stores, and automated validation frameworks.
• Proficient SQL skills and experience working with large-scale structured and unstructured datasets.
• Knowledge of Markov chains, stochastic processes, and probabilistic modeling.
• Knowledge of SAP AI Core, SAP Generative AI Hub, SAP HANA Cloud Vector Engine, or SAP BTP services is highly desirable.
• Demonstrated success in leading large-scale, cross-functional technical initiatives from inception through production deployment.
• Great communication, stakeholder management, and problem-solving skills and Growth mindset, deep sense of ownership, and a collaborative attitude

WHERE YOU BELONG:

SAP Business AI Platform INT ABS – API Business Services works on Integration Suite, offering services such as SAP Business Accelerator Hub and SAP API Management for seamless enterprise connectivity. Integration Cell introduces a steadfast, SAP-managed runtime architecture with improved isolation, scalability, and performance. The team is also building many innovative enterprise-grade AI native applications and platform capabilities. You will work alongside AI engineers, platform engineers, architects, and product teams to create innovative solutions that operate at enterprise scale while maintaining high standards for reliability, performance, security, and responsible AI.

Job Location - SAP Labs, Whitefield, Bangalore

Equal Employment Opportunity (EEO) Statement

Our company does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.

About SAP
With a global network of customers, partners, employees, and thought leaders, SAP helps the world run better and improves people’s lives.
As a leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience.
 
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SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone, regardless of background, feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.
 
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Qualified applicants will receive consideration for employment without regard to age, race, religion, national origin, ethnicity, gender (including pregnancy and childbirth), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.
 
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AI Usage in the Recruitment Process
 
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
 
Please note that any violation of these guidelines may result in disqualification from the hiring process.