Data Scientist & Gen AI Consultant

Job Description

Guide customers and drive discussions with them to build AI/ML/Generative AI scenarios and finalise expected business outcomes. Drive requirement gathering discussions with customer s business owners and propose relevant AI/ML/Generative AI use cases to solve business problems. Create system architecture for complex and scalable AI/ML solutions. Develop and put the AI/ML/Generative AI models in production to serve multiple enterprise customers Lead/contribute to developing end-to-end AI/ML/Generative AI solutions, not restrictive to only algorithms. Drive AI/ML/Generative AI initiatives leveraging SAP AI eco system. Lead/work closely with other data scientists/experts and teams to deliver solutions for customers AI adoption journey. SKILLS REQUIRED: 10+ 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.