Senior Data Scientist

13 hours ago


Bangalore, India ANSR Full time
Headquartered in Berlin, Germany, 4flow provides consulting, software and services for logistics and supply chain management. More than 1300 team members leverage their supply chain expertise and IT know-how to best serve their customers at 20+ locations around the world.
4flow develops and implements lean, agile and sustainable supply chain strategies that enhance operational efficiency and drive cost savings for businesses worldwide. Their clients span across multiple high-impact industries including vehicle manufacturers and suppliers, consumer goods and retail, industrial machinery manufacturers, medical technology, basic materials, spare parts, renewable energy, high-tech and telecommunications, and logistics service providers (LSP).

As a Senior Data Scientist LLM, you will develop, fine-tune, and deploy large language models (LLMs) tailored to specific business needs. You will collaborate across teams to integrate LLMs into production systems and ensure their performance, reliability, and alignment with business goals.

Fine-tune and optimize LLM and NLP models (e.g., Apply prompt engineering techniques to improve model performance and task alignment
Collaborate with ML engineers and developers to build robust AI pipelines
Evaluate model performance using accuracy, relevance, and alignment metrics
Stay current with advancements in LLM frameworks and transformer architectures
3+ years of experience in LLM and NLP model development
~ Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Machine Learning, or a related quantitative field
~ Proficiency with LLM frameworks and libraries such as Hugging Face Transformers , LangChain , OpenAI API , LLaMAIndex , or similar
~ Experience with prompt engineering and model evaluation
~ Proficiency in Python or Java , experience with AI/ML pipelines , and deployment on AWS , Azure , or Google Cloud Platform

Genuine motivation to contribute to 4flow’s success and alignment with company culture and values
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