Senior ML Engineer – SAP Business AI – SAP Knowledge Graph (T2/T3) at SAP, Bangalore
Location: Bangalore, Karnataka, India
Job Type: Full-Time
Department: Software Design and Development
Job ID: 1164643201
Job Description
At SAP, we amplify the strength of AI technology, fusing it with our robust industry-focused data and profound process knowledge. Our vision is to infuse every SAP application with sophisticated AI capabilities, revolutionizing the way businesses operate. Large Language Models (LLMs) are transforming Machine Learning but pose challenges in business applications due to their limited understanding of structured and unstructured business data such as business data models, business process metadata, and documentation, which slows the development progress. It is SAP’s mission to overcome these challenges within the realm of Business AI. Our goal is to provide Knowledge Graphs (KG) as key differentiators to address LLM challenges like hallucination and compliance and to deliver distinctive generative AI solutions to our customers.
As a Senior AI Scientist, you will play a pivotal role in shaping and executing data engineering activities while driving AI-driven innovation for SAP’s Knowledge Graph initiatives.
Key Responsibilities:
- Design and implement robust ETL pipelines to ingest and process data, metadata, and other artifacts into SAP’s Knowledge Graph.
- Contribute to the development and deployment of AI-driven solutions, focusing on LLM applications and their integration with Knowledge Graphs.
- Extract, preprocess, and enrich information from various Line of Business (LoB) data sources to support foundational models and AI use cases.
- Collaborate with domain experts across SAP’s business units to align AI and data engineering strategies with business goals.
- Build stable and scalable applications to operationalize AI models and ensure their seamless integration into enterprise systems.
- Guide junior team members and foster a collaborative team environment.
- Lead critical design and implementation decisions, ensuring the alignment of AI and data engineering architectures with SAP’s strategic vision.
- Drive thought leadership in generative AI by leveraging Knowledge Graphs and foundational models for business innovation.
Qualifications
- 5+ years of professional experience in software engineering, with at least 2 years as a data engineer and significant exposure to AI/ML applications.
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Physics, Mathematics, or other relevant disciplines.
- Proficiency in Python, with experience in frameworks like TensorFlow, PyTorch, and tools for building ETL pipelines (e.g., Metaflow, Airflow).
- Hands-on experience with cloud platforms such as AWS, GCP, Azure, or BTP.
- Strong knowledge of relational databases, object stores, and vector databases.
- Experience in Knowledge Graph technologies (e.g., RDF, SPARQL) and familiarity with SAP S/4HANA backend data models (e.g., CDS Views, RAP) is a plus.
- Expertise in building scalable data pipelines for AI applications, particularly those involving LLMs or similar models.
- Strong communication, collaboration, and leadership skills, with experience working in agile and cross-cultural teams.
- A curiosity to experiment with and adopt emerging technologies and frameworks.
Estimated Salary Structure
The estimated salary for a Senior Machine Learning Engineer at SAP in Bangalore ranges from ₹30 Lakhs to ₹45 Lakhs per annum, depending on experience and qualifications. [Source]
How to Prepare for This Role
Technical Preparation:
- Strengthen your understanding of machine learning frameworks like TensorFlow and PyTorch.
- Gain proficiency in building and managing ETL pipelines using tools such as Airflow or Metaflow.
- Familiarize yourself with cloud platforms (AWS, GCP, Azure) and their AI/ML services.
- Study Knowledge Graph technologies, including RDF and SPARQL.
- Understand SAP’s S/4HANA backend data models, including CDS Views and RAP.
Soft Skills:
- Enhance communication and collaboration skills to work effectively in cross-functional teams.
- Develop leadership abilities to guide junior team members and drive strategic initiatives.
- Stay curious and open to experimenting with emerging technologies and frameworks.
Company Reviews
Positive Aspects:
- Supportive management and team environment.
- Great company culture with a focus on collaboration and continuous learning.
- Flexibility in work arrangements and a strong emphasis on work-life balance.
Areas for Improvement:
- Complex organizational structure may lead to slower decision-making processes.
- Workload can be intense during peak project periods.
Company Culture
SAP fosters a culture of innovation, collaboration, and continuous learning. The organization emphasizes ethical conduct, accountability, and a commitment to excellence in all aspects of its operations. Employees are encouraged to bring out their best in a workplace that embraces differences, values flexibility, and is aligned with SAP’s purpose-driven and future-focused work.
Recent Company Trends
- Financial Performance: SAP reported a total revenue of €9.01 billion in Q1 2025, marking a 12% increase year-over-year. Cloud revenue grew by 27%, reflecting the company’s strong focus on cloud-based solutions. [Source]
- Strategic Initiatives: SAP’s updated 2025 outlook projects cloud and software revenue to grow between 11% and 13%, reaching €33.1bn to €33.6bn. Free cash flow is expected to rise significantly, supported by operational improvements and reporting changes. [Source]
- AI Integration: SAP is integrating AI into its enterprise applications, with a focus on enhancing business processes and delivering exceptional business value through AI-driven solutions. [Source]
Pros and Cons of Working at SAP
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Apply Here
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We hope this guide helps you understand the role and prepare effectively. All the best in your job search!