Data Scientist and GenAI Consultant
4 months ago
We help the world run better
Our company culture is focused on helping our employees enable innovation by building breakthroughs together. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We 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. Apply now
Meet your team
At SAP, we are enabling our customers to become Intelligent Enterprises by integrating data and processes, building flexible value chains, innovating with industry best practices, providing our customers with the ability to understand and act on their customer, partner, and employee sentiment, and how to manage their environmental impact — to grow more resilient, more profitable, and more sustainable”
While we touch 70% of the world’s transactions, our customer would like to leverage the data and take business decision. SAP provides technology support and platform the do the same. SAP vision’s support responsible AI built on leading ethics and data privacy standards while maintaining full governance and lifecycle management for our customers. As part of SAP revised strategy, Generative AI is a transformer and a key contributor in improving the business process within and across SAP enterprise solution and bring enhanced value to our customers.
We at SAP Customer Success Services team- BTP Delivery@Scale, build or augment application leveraging AI/ML to support their business objective. AI brings in improvement the efficiency and reduction in errors over time for a business process. We are looking for Data scientist and GenAI Expert, you have strong expertise in developing ML models for customer specific business scenarios.
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:
- 6-12 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.
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We build breakthroughs together
SAP innovations help more than 400,000 customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with 200 million users and more than 100,000 employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, we build breakthroughs, together.
We win with inclusion
SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world.
SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
EOE AA M/F/Vet/Disability:
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
Successful candidates might be required to undergo a background verification with an external vendor.
Requisition ID: 388341 | Work Area: Consulting and Professional Services | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.
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