Senior Data Scientist (BERT, GPT, PEFT, LoRA) Bangalore North Devanahalli

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.

Job title Senior Data Scientist: SF Skills Intelligence Foundation (BERT GPT PEFT LoRA)

Work Location: Bangalore North Devanahalli Innovation Campus

What youll build

As a machine learning engineer what youll 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 youll bring:

• Bachelors / Masters 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 customers 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.

#LI-RA2 #DevT3 #LifeAtSAP

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.

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AI Usage in the Recruitment Process

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Requisition ID: 447485 Work Area: Software-Design and Development Expected Travel: 0 - 10% Career Status: Professional Employment Type: Regular Full Time Additional Locations: #LI-Hybrid