We help the world run better
At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. 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.
Senior Data Scientist – Concur Localization, SAP Globalization
As a Senior Machine Learning Engineer, you will be part of an international team and play a pivotal role in designing, implementing, and deploying multimodal machine learning models.
We solve real-world challenges posed by SAP Concur customers with a focus on intelligent document processing, e.g., information extraction, OCR, and entity recognition. You will apply the state-of-the-art in deep learning and take one of the richest data sets available in industry to the next level.
What you’ll do
• You'll be involved in various aspects of the data science process, including acquiring data, conducting exploratory data analysis, building models, and monitoring their performance
• Evaluate and adopt generative AI based solutions – either through external LLM’s or fine tuning Local LLM’s.
• Work closely with Software Engineers to integrate machine learning models into production systems and ensure scalability and reliability.
• Perform thorough testing and validation of machine learning models to ensure accuracy and robustness.
• Collaborate with cross-functional teams to define requirements, scope, and milestones for machine learning projects.
• Stay up-to-date with the latest advancements in machine learning ,mentor team members and contribute to the team's knowledge-sharing initiatives.
What you Bring
• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
• Solid understanding of machine learning algorithms, model evaluation, and validation techniques.
• Exposure to Generative AI and familiarity with the capabilities of recent advances in Large Language Models.
• Strong programming skills in Python and proficiency in machine learning libraries (e.g., scikit-learn, Hugging Face, Langchain, and PyTorch).
• Experience with SQL or NoSQL databases.
• Familiarity with cloud platforms and ML frameworks (e.g., AWS Sagemaker, MLFlow, Weights and Biases) and deploying machine learning models in production environments.
• Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders.
• Experience in building data pipelines will be an added advantage.
Meet your Team
SAP Globalization broadens SAP Global Foot print by enabling business to run efficiently with the vision of empowering them with Local compliance and global success. SAP Concur Provides an integrated online and mobile business travel and other expenses.
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: 410083 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.