
Data Scientist & Gen AI Consultant
Responsibilities
Qualifications & Requirements
Experience Level: Senior Level
Full Job Description
SAP is seeking a Data Scientist & Gen AI Consultant for its BTP Delivery@Scale team in Gurgaon, India. This role is crucial in enabling customers to leverage data and advanced AI/ML/Generative AI technologies for improved business decisions and processes. You will work with customers to define and build AI-driven solutions, acting as a consultant to guide them on expected business outcomes. The responsibilities include driving requirement gathering, proposing AI/ML/Generative AI use cases, designing scalable system architectures, and developing/deploying models into production. You will lead and contribute to end-to-end AI solutions, leveraging SAP's AI ecosystem and collaborating with cross-functional teams. The ideal candidate will have 5+ years of experience in AI/ML/Generative AI, a strong passion for solving business problems, and a focus on delivering tangible business value. Expertise in Generative AI concepts, platforms (like Langchain/LlamaIndex), prompt engineering, vector databases, RAG, and proficiency in ML libraries (Scikit-learn, Pytorch, Tensorflow) and Python OOP are essential. Familiarity with NLP, MLOps/LLMOps on cloud platforms, Git, and cloud-native technologies is also required. Knowledge of SAP products such as S4/HANA, SAP BTP, SuccessFactors, and Ariba is a plus. Educational qualifications include a B.E./B.Tech./M.Tech./MCA in Computer Science or a Master’s in Data Analytics/Data Science or equivalent.
SKILLS REQUIRED:
- 5+ years of relevant experience in AI/ML/Generative AI field.
- Willingness to interact with customers and passionate to solve business problems.
- Strong focus on delivering business values to customers.
- Experience in implementing scalable AI/ML solutions.
- Generative AI expertise.
- Experience/good understanding of Generative AI Concepts and implementations.
- Experience in Generative AI technology platform offerings, frameworks(Open source Langchain/LlamaIndex, other 3rd party platforms) and tools.
- Good Experience in Prompt Engineering techniques.
- Hands-on experience in vector databases, and advanced RAG.
- Understanding of Knowledge Graphs is a plus.
- Strong inclination to learn and experiment with new concepts and technologies in Generative AI space.
- Proficiency in ML technologies/libraries like Scikit-learn, Pytorch, Tensorflow etc.
- Proficient in one or more programming languages (Python OOP is must).
- Very strong practical hand-on NLP technology usage knowhow (apply in business context).
- Experience in developing and productizing scalable AI solutions.
- Strong data exploration, cleansing, transformation, feature engineering skills.
- Experience in MLOps/LLMOps on any Cloud platform.
- Familiarity with code management tools like Git, GitHub etc.
- Familiarity with cloud computing and cloud native technologies (e.g. Docker, K8S etc.).
- Communication skills with the ability to communicate appropriately with customers in various situations.
- Ability to bring forth new ideas and drive them to execution.
- Knowledge of SAP products and solutions, e.g. S4/HANA, SAP BTP, SuccessFactors, Ariba etc.
EDUCATION:
B.E./B.Tech./M.Tech./MCA in Computer Science or Master’s in data Analytics/Data Science or equivalent degree.
Company
SAP
SAP is a global leader in enterprise software, dedicated to helping businesses of all sizes run better and more efficiently. With a mission to enable the world to run better and improve people's lives...