We help the world run better
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
Job title Senior Data Scientist: SF Skills Intelligence Foundation (BERT, GPT, PEFT, LoRA)
Work Location: Bangalore North Devanahalli Innovation Campus
What You'll Build
As a machine learning engineer what you'll do:
- Understand and use computer science fundamentals, including data structures, algorithms, computability and complexity and computer architecture
- Use exceptional mathematical skills, in order to perform computations and work with the algorithms involved in this type of programming
- Collaborate with data engineers to build data and model pipelines
- Manage the infrastructure and data pipelines needed to bring code to production
- demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created
- Build algorithms based on statistical modelling procedures and build and maintain scalable machine learning solutions in production
- Use data modelling and evaluation strategy to find patterns and predict unseen instances
- Apply machine learning algorithms and libraries
- Lead on software engineering and software design
- Communicate and explain complex processes to people who are not programming experts
- Liaise with stakeholders to analyse business problems, clarify requirements and define the scope of the resolution needed
- Analyse large, complex datasets to extract insights and decide on the appropriate technique
- Research and implement best practices to improve the existing machine learning infrastructure
- Provide support to engineers and product managers in implementing machine learning in the product.
What You'll Bring
- Bachelors / Master's degree in computer science, machine learning, data science or related fields, with knowledge and experience on knowledge representation
- 8+ years of experience with at least 3 projects or 5 years of hands-on experience on data science or data engineering
- Proven experience in developing and delivering NLP solutions using pre-trained models and LLMs (e.g., BERT-based models, GPT-based models) for core NLP tasks such as text classification, named entity recognition (NER), information retrieval, summarization, question answering, and text generation, aligned to real-world business use cases.
- Hands-on experience fine-tuning and adapting pre-trained models on domain-specific datasets using supervised learning, parameter-efficient fine-tuning techniques (PEFT/LoRA), and instruction tuning. Strong background in hyperparameter optimization, dataset curation, data augmentation, and robust model evaluation using metrics such as precision/recall, BLEU, ROUGE, as well as bias, safety, and toxicity assessments.
- Ability to build and own end-to-end machine learning pipelines, including data ingestion, labeling workflows, feature engineering, model training, and evaluation, using modern ML frameworks and tooling such as PyTorch, Hugging Face Transformers, Ray, and experiment tracking platforms like MLflow or Weights & Biases.
- Experience productionizing and operating NLP services in both batch and real-time environments, including model packaging, API deployment, latency and throughput optimization, monitoring, drift detection, A/B testing, and continuous improvement through feedback loops.
- Desired Skills Experience working with knowledge graph stores (Stardog, TigerGraph, Ontotext GraphDB, Neo4j) and surrounding semantic technology (OWL, RDF, SWRL, SPARQL, JSON-LD)
- Strong problem-solving skills, business acumen, and demonstrated excellent oral and written communication skills with both technical and non-technical audiences
Meet Your Team
SAP SuccessFactors, we have started a Human Revolution. Using the latest technology, we are unlocking human potential and transforming our customer's workforces in ways they never imagined. We are digitally transforming their businesses into the next generation of intelligent enterprises. Because people are at the heart of every business transformation, people are the heart of our business. The SAP SuccessFactors product suite spans core human resources, Time, Payroll, analytics-based hiring and customized onboarding, continuous performance management, intelligent succession, Learning and more.
We operate the largest HCM Cloud in the world, supporting over 120 million users with over a billion transactions for customers across 26 industries in over 90 countries. Our co-located agile teams have end-to-end ownership of product, design, development, release, user assistance, and cloud operations capabilities. We are in the forefront of the Skills Intelligence market and are looking for the best talent to join our team and deliver continuous innovations in the cloud while bringing purpose to their lives and more meaning to their work. Join us today and become a part of the Human Revolution.
#DevT3
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 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: [Confidential Information].
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, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.
Successful candidates might be required to undergo a background verification with an external vendor.
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: 447485 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations:
