- You will work with a team of highly technical and motivated developers.
- Collaborate and work with teams spread across geographies and time zones.
- You will work on the entire lifecycle of development projects, both customer specific and SAP-defined. This includes the analysis and specification of the customer-specific business requirements as well as the design, implementation, maintenance and in case of cloud services operation of customer-specific solutions.
- Implement backlogs for functional and non-functional requirements.
- Design, develop, deploy and monitor efficient AI/ML modules that drives complex business applications.
- Adhere to SAPs agile engineering practices and processes. Own your code from ideation to development, across the full stack and through QA and support.
- You will work on multiple topics and technologies with adequate enablement.
What you bring:
Educational Qualification
- Bachelors/master s degree in computer science, machine learning, data science or related fields, with knowledge and experience on knowledge representation
Work Experience
- 4+ years of industry experience in a Data Science.
Skills and Competencies :
- Extensive knowledge of various machine learning algorithms and concepts used to build predictive models.
- Develop and deploy applications based on Large Language Models (LLM) and Gen AI based products
- Apply prompt engineering, fine-tuning, and RAG techniques to improve model accuracy and reliability.
- Design and implement AI pipelines (data ingestion, embeddings, vector databases, knowledge retrieval).
- Collaborate with backend and frontend engineers to build production-ready APIs and interfaces.
- Implement guardrails, safety mechanisms, and bias detection to ensure responsible AI usage.
- Understanding of Agent development and frameworks like Lang graph.
- Understanding of Basic UI development in Python.
- In-depth knowledge in the following data science domains:
- Text Analysis and Natural Language Processing
- Neural Networks and Deep Learning
- Hands on experience with computational packages (Numpy, Scipy, Pandas, Scikit-Learn, StatsModels, Keras, Tensorflow, etc.) and visualization tools.
- Software engineering experience of AI related projects, using advanced techniques like vector databases, LLMs, and NLPs
- Prior experience in deploying machine learning models into production.
- Experience in working with GPUs to develop models.
- Possess strong interpersonal and stakeholder management skills.
- Past and current experience writing and speaking about complex technical concepts to broad audiences in a simplified format.
- Strong written and verbal communication skills
- Demonstrated the ability to independently develop new concepts and stay current with academic research.
Expectations and Tasks:
- Conceptualize, design, and deliver high quality solutions and insightful analysis.
- Work on gathering data and requirements, participate in solution scoping and architecture, research, and prototyping innovative models.
- Build solutions by exploring data, building & validating models and deploying them to deliver maximum business impact.
- Interact with both - internal and external stakeholders daily.
- Handle multiple projects as an individual contributor and be a multiplier by actively mentoring other resources within the team.
- Be up to date with latest and best practices in delivering enterprise grade data science solutions.
- Build credibility and trust with customers and project teams during project execution.
Meet your team:
SAP Private Cloud Cross Technology and Architecture unit that is driving technology empowering innovations in business and people. It is part of the global organization Private Cloud dedicated to delivering innovative solutions to meet our customers unique business process needs in Private Cloud.
- You will be joining a dynamic and passionate team dedicated to leveraging AI to facilitate seamless interactions between individuals and information.
- We foster a culture of collaboration, learning, and growth, encouraging all team members to contribute ideas and perspectives.
- Enjoy the benefits of working within a diverse and international environment, with opportunities to collaborate with colleagues from around the globe.
