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Job Title: Associate AI Developer (Scientist) 


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.


SAP Business AI


SAP’s Business AI growth area brings together product development, marketing, go-to-market, and services teams into a dedicated end-to-end unit. In this set-up we focus on accelerating our AI foundation, scaling AI swiftly across our product portfolio, and driving customer adoption of SAP Business AI. In doing so, we collaborate closely with all teams across SAP. Our goal is to leverage the Generative AI momentum to make SAP #1 in Business AI and redefine business process software for the next 50 years. 


What you'll do


Assist in the fine-tuning of large pre-trained generative models (e.g., GPT, StarCoder, Mistral) for various applications such as code generation, code migration, and code explanation.
Collaborate with the AI team to understand project requirements and objectives.
Prepare and preprocess datasets for model training and evaluation, ensuring high-quality input data.
Implement and experiment with different fine-tuning techniques to optimize model performance for specific generative tasks.
Analyze and document the performance of fine-tuned models, identifying areas for improvement and potential use cases.
Participate in team meetings and contribute ideas for enhancing generative AI model capabilities.
Stay updated with the latest research and advancements in the field of generative AI and machine learning.



What you bring


Bachelor’s or Master’s in Computer Science, Data Science or a related field.
Basic understanding of machine learning concepts and techniques, with a focus on generative models.
Strong analytical and problem-solving skills.
Ability to work collaboratively in a team environment.
Excellent communication skills, both written and verbal.
Enthusiasm for learning and adapting to new technologies, especially in the field of generative AI.
Familiarity with programming languages such as Python. 
Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.
Exposure to ABAP programming would be a plus


Experience :1 to 4 Years


Meet your team


Our team is a dynamic group of AI engineers and AI scientists dedicated to advancing the capabilities of foundation models through innovative fine-tuning techniques. We specialize in tailoring pre-trained generative models to meet specific application needs, driving cutting-edge research, and delivering impactful AI solutions across various industries.


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.


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.


SAP Business AI


SAP’s Business AI growth area brings together product development, marketing, go-to-market, and services teams into a dedicated end-to-end unit. In this set-up we focus on accelerating our AI foundation, scaling AI swiftly across our product portfolio, and driving customer adoption of SAP Business AI. In doing so, we collaborate closely with all teams across SAP. Our goal is to leverage the Generative AI momentum to make SAP #1 in Business AI and redefine business process software for the next 50 years. 


What you'll do


  • Assist in the fine-tuning of large pre-trained generative models (e.g., GPT, StarCoder, Mistral) for various applications such as code generation, code migration, and code explanation.
  • Collaborate with the AI team to understand project requirements and objectives.
  • Prepare and preprocess datasets for model training and evaluation, ensuring high-quality input data.
  • Implement and experiment with different fine-tuning techniques to optimize model performance for specific generative tasks.
  • Analyze and document the performance of fine-tuned models, identifying areas for improvement and potential use cases.
  • Participate in team meetings and contribute ideas for enhancing generative AI model capabilities.
  • Stay updated with the latest research and advancements in the field of generative AI and machine learning.

What you bring


  • Bachelor’s or Master’s in Computer Science, Data Science or a related field.
  • Basic understanding of machine learning concepts and techniques, with a focus on generative models.
  • Strong analytical and problem-solving skills.
  • Ability to work collaboratively in a team environment.
  • Excellent communication skills, both written and verbal.
  • Enthusiasm for learning and adapting to new technologies, especially in the field of generative AI.
  • Familiarity with programming languages such as Python. 
  • Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.
  • Exposure to ABAP programming would be a plus

Meet your team


Our team is a dynamic group of AI engineers and AI scientists dedicated to advancing the capabilities of foundation models through innovative fine-tuning techniques. We specialize in tailoring pre-trained generative models to meet specific application needs, driving cutting-edge research, and delivering impactful AI solutions across various industries.


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


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: 396263  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Graduate  | Employment Type: Regular Full Time   | Additional Locations: #LI-Hybrid.


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