SAP Software Solutions | Business Applications and Technology is hiring a Senior Data Scientist to build and deliver NLP solutions using pre-trained models and LLMs for the SF Skills Intelligence Foundation. In this role, you will focus on end-to-end machine learning pipeline development, productionizing NLP services, and collaborating with stakeholders to solve business problems.
What You'll Do
- Understand and use computer science fundamentals, including data structures, algorithms, computability and complexity and computer architecture.
- Use exceptional mathematical skills to perform computations and work with algorithms.
- 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 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 We're Looking For
- 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.
- Strong problem-solving skills, business acumen, and demonstrated excellent oral and written communication skills with both technical and non-technical audiences.
Nice to Have
- Experience working with knowledge graph stores (Stardog, TigerGraph, Ontotext GraphDB, Neo4j) and surrounding semantic technology (OWL, RDF, SWRL, SPARQL, JSON-LD).
Technical Stack
- BERT, GPT, PEFT, LoRA, PyTorch, Hugging Face Transformers, Ray, MLflow, Weights & Biases, Stardog, TigerGraph, Ontotext GraphDB, Neo4j, OWL, RDF, SWRL, SPARQL, JSON-LD
Team & Environment
Part of the SAP SuccessFactors team, focusing on the Skills Intelligence market.
Benefits & Compensation
- Constant learning
- Skill growth
- Great benefits
- Team that wants you to grow and succeed
- Place where you can be yourself
- Prioritize your wellbeing
- Truly belong
Work Mode
This is an onsite role located at the Bangalore North – Devanahalli Innovation Campus.
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