What you'll do
- 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.
EDUCATION:
B.E./B.Tech./M.Tech./MCA in Computer Science or Master’s in data Analytics/Data Science or equivalent degree.