Position Details
About this role
This role involves designing and building data pipelines, working with large language models, and developing AI solutions using transformer architectures and reinforcement learning techniques.
Key Responsibilities
- Supporting data engineering projects
- Building and maintaining data pipelines
- Working with transformer models and LLMs
- Developing RAG pipelines and agent frameworks
- Applying reinforcement learning techniques
Technical Overview
The technical environment includes data engineering tools, transformer models like GPT, LLaMA, Mistral, Claude, and frameworks such as LangChain, RLlib, with a focus on LLMs, prompt engineering, and RAG pipelines.
Ideal Candidate
The ideal candidate is a data engineer with experience in building data pipelines, working with Transformer models and LLMs like GPT and LLaMA, and skilled in finetuning, prompt engineering, and reinforcement learning techniques.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with Transformer models or LLMs, No background in data engineering tools, Inability to work with reinforcement learning methods
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