AIML Scientist Generative AI
AIML Scientist Generative AI
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
We help the world run better
At SAP we keep it simple: you bring your best to us and well bring out the best in you. Were builders touching over 20 industries and 80% of global commerce and we need your unique talents to help shape whats next. The work is challenging but it matters. Youll find a place where you can be yourself prioritize your wellbeing and truly belong. Whats in it for you Constant learning skill growth great benefits and a team that wants you to grow and succeed.
Summary:
At SAP we integrate AI technology with extensive industry-specific data and deep process knowledge to create innovative AI capabilities for all SAP applications. Large Language Models (LLMs) hold immense potential to change the way we work and develop products. They are reshaping the landscape of Machine Learning across various domains.
SAP AI Product Engineering is responsible for designing central frameworks and cloud services such as Joule Generative AI Hub AI Core and Document Information Extraction as the AI foundation for embedded AI throughout our portfolio in addition to our efforts towards SAPs foundation models both our own tabular business models and building on top of partner LLMs and generative AI technologies.
The Role:
Play a key role in building enterprise AI solutions embedded within SAPs rich and diverse business data context.
Solve complex problems using cutting-edge LLMs and Agentic AI focusing on in-context learning fine-tuning or pre-train models.
Apply expertise in data pre-processing Information Retrieval Retrieval-Augmented Generation (RAG) and Agentic AI to improve multimodal question answering.
Stay on top of the latest advancements in LLMs Foundation Models and Machine Learning; leverage this knowledge to enhance models for improving product quality.
Define ML tasks develop and implement models or hypotheses and present experiments and results effectively that address real-world enterprise challenges.
Collaborate cross-functionally with other teams to align AI capabilities and models.
Contribute to innovation in new data modalities for Generative AI applications and foundation models
What you bring:
Bachelors with minimum 2 years of relevant experience or masters degree in computer science Artificial Intelligence or a related field.
1 years of relevant experience in Machine Learning including at least 1 year working with LLMs.
Hands-on experience with LLMs fine-tuning or deep learning.
Proficiency in Python with practical experience using ML frameworks such as PyTorch TensorFlow or similar.
Experience with agentic AI frameworks (e.g. LangGraph or equivalent).
Ability to apply AI systems effectively and a strong motivation to continuously grow technical skills in fine-tuning and scalable ML solutions.
Meet your team:
SAPs AI organization is dedicated to seamlessly infusing AI into all enterprise applications enabling customers partners and developers to enhance business processes and generate remarkable business value. Join our international AI team where innovation thrives opportunities for personal development abound and exceptional colleagues collaborate globall
Bring out your best
SAP innovations help more than four hundred thousand 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 two hundred million users and more than one hundred thousand 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 you can bring out your best.
We win with inclusion
SAPs 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 world.
SAP is committed to the values of Equal Employment Opportunity and provides 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:
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.
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.
Compensation Range Transparency: SAPbelieves the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAPs commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted combined range for this position is 116800 - 218600(USD) actual amount to be offered to the successful candidatewill be within that range dependent upon the key aspects of each case which may include education skillsexperience scope ofthe role location etc. as determinedthrough theselection process. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance. Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits.
AI Usage in the Recruitment Process
For information on the responsible use of AI in our recruitment process please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
Please note that any violation of these guidelines may result in disqualification from the hiring process.
Requisition ID: 437332 Work Area: Software-Design and Development Expected Travel: 0 - 10% Career Status: Professional Employment Type: Regular Full Time Additional Locations: #LI-Hybrid
Employment Type
Full-Time
