Data Scientist

3 months ago

Bengaluru Karnataka, India SAP Full time

**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.

**What you'll do**
- Develop Machine Learning (ML) algorithms to solve operational problems
- Understand the set of ML algorithms that will be applicable to a specific business problem
- Research, experiment and build ML PoCs to demonstrate and validate your solutions internally
- Evaluate, improve/refine models by tuning parameters, adjusting data sources, or model approaches, to provide business value
- Understand data and evaluate data quality from data science, data engineering and business value perspectives.
- Contribute to building end to end AI/ ML projects (pre-processing, data cleansing, data pipelines, storage etc.), not restricted to only algorithms
- Deploy ML projects into production and support re-training and maintenance for the same

**What you'll bring**
- Graduate with 3-7+ years of experience working as a data engineer
- Proficiency in AI/ ML algorithms, concepts, and techniques
- Proficiency with Python, SQL, databases, and Natural Language Processing
- Experience with popular ML frameworks and libraries (such as XGboost, Pytorch, Tensorflow, pandas, numpy etc.)
- Experience with ML end to end management tools such as MLFlow
- Knowledge of transformer models, different LLM offerings and differences between them
- Familiarity with tuning of parameters for customizing LLMs - Good to have
- Familiarity with Microservice paradigms and related technologies, such as Kubernetes, Docker, and REST API’s - Good to have
- Some familiarity with data engineering tools such as Spark, AWS Glue, Databricks, GSP Data Flow, Airflow etc - Good to have

**Meet your team**

SAP Integration Suite is SAP’s strategic Enterprise Integration Platform as a service offering (EiPaas) running on SAP BTP. With more than 12,000+ customers, it is one of the most successful cloud services at SAP. Recently, Gartner rated SAP Integration Suite as the “Customer Choice” for Enterprise Integration Platform as a service.
Within BTP Integration, you will be part of Cloud Delivery and Engineering Services (a.k.a CDE), which has customer centricity at the core, and the mission to pursue operational and engineering excellence, thereby enabling the organization to make decisions through data insights and, in agile and fast delivering of the best-in-class EiPaaS software, which is regression free, reliable, secure, cost effective, highly available & scalable.

DataScienceT2

**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.

**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.

Requisition ID: 401830 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.

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