We are looking for a highly skilled Data Scientist with expertise in building AI-powered applications. We will be building GenAI solutions end-to-end: from concept, through prototyping, productization, to operations. The ideal candidate will bring technical expertise in Natural Language Processing (NLP), especially leveraging Large Language Models (LLM) and proficiency in prompt engineering techniques.
responsibilities :
Generative AI Application Development
Algorithm Development
Data Curation for LLMs
Exploratory Data Analysis (EDA
Support in Prompt Engineering
Experimentation and Validation
Software Development
Continuous Improvement
requirements-expected :
3+ years of hands-on experience working with language models, especially those based on Transformer architectures (e.g. BERT, T5, RoBERTa), and at least 1 year of experience with generative large language models (e.g. GPT, LLaMA, Claude, Cohere, etc.)
Technical Skills: Advanced proficiency in Python and experience with deep learning frameworks such as PyTorch or TensorFlow; expertise with Transformer architectures; hands-on experience with LangChain or similar LLM frameworks
Experience with designing end-to-end RAG systems using state of the art orchestration frameworks (hands on experience with fine-tuning LLMs for specific tasks and use cases considered as an additional advantage)
Practical overview and experience with AWS services to design cloud solutions, familiarity with Azure is a plus; experience with working with GenAI specific services like Azure OpenAI, Amazon Bedrock, Amazon SageMaker JumpStart, etc.
