SAP Recruitment Drive; Hiring Data Scientist – Apply Now

At SAP, they enable you to bring out your best. SAP company culture is focused on collaboration and a shared passion to help the world run better. How? SAP focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to their purpose-driven and future-focused work. SAP offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.

Name of the Organization: SAP

Requisition ID: 407008

Positions: Data Scientist

Location: Bangalore

Salary: As per company Norms

Required Skills & Qualifications:

• Bachelor's or Master's degree in computer science, Engineering, Mathematics, or a related field.
• Good understanding of AI algorithms, ML, model evaluation, and validation techniques
• Solid understanding of the mathematics related to data science - probability, statistics, linear algebra etc
• Strong analytical and problem solving skills
• Specialist in Generative AI and excellent understanding with the capabilities of recent advances in Large Language Models
• Proficient in any one area of AI/ML streams - Predictive analytics, Speech processing, Text Analytics/NLP, Computer Vision, Machine Translation, generative AI with SQL or NoSQL databases
• Implement most recent algorithms and approaches for machine learning in collaboration with our Architects/Data scientists
• Exposure to SAP modules along with prior experience in cloud technologies like BTP, AWS, GCP, etc. is desired
• Adhere to SAP's agile engineering practices and processes. Own your code from ideation to development, across the full stack and through QA and support
• Strong communication skills to effectively convey complex technical concepts to stakeholders

Responsibilities:

• You'll work on the entire lifecycle of development projects, both customer specific and SAP-defined
• Collaborate and work with teams spread across geographies and time zones
• You'll be involved in various aspects of the data science process, including acquiring data, conducting exploratory data analysis, developing proof of concepts with the state of art LLM model, and establishing their performance
• Implement backlogs for functional and non-functional requirements
• Evaluate and adopt generative AI based solutions – either through external LLM’s or fine tuning Local LLM’s, independently or minimal support from the experts
• Must be able to deploy AI models into production systems and ensure scalability and reliability, independently or minimal support from the experts
• Perform thorough testing and validation of AI models to ensure accuracy and robustness, independently or minimal support from the experts
• Stay up-to-date with the latest advancements in Gen AI, machine learning, mentor team members and contribute to the team's knowledge-sharing initiatives.

 

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