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Deep Learning Engineer for AI Applications
1 tydzień temu
We are seeking a Machine Learning Engineer with expertise in LLM Development to join our team. As a Machine Learning Engineer, you will be responsible for developing and deploying AI-powered applications using Large Language Models (LLMs). Your primary responsibility will be to design and develop AI-powered applications that can handle various tasks such as text generation, summarization, and information extraction.
About the Project
Our client from the pharmacy sector is seeking a Machine Learning Engineer with expertise in LLM Development to join their team and help them build AI-powered applications that can be used by their customers. The ideal candidate should have experience with LLMs, classical AI techniques, and deep learning frameworks like PyTorch or TensorFlow.
Your Responsibilities
- Develop and deploy AI-powered applications using LLMs.
- Work with developers and stakeholders in Agile teams to ensure seamless integration of LLMs and classical AI techniques.
- Design and develop end-to-end RAG systems using state-of-the-art orchestration frameworks.
- Optimize and fine-tune LLM-based and other AI algorithms for improved performance.
- Monitor and refine deployed models to ensure accuracy and reliability.
Requirements
To be successful in this role, you should have 3+ years of experience in AI/ML engineering with exposure to both classical machine learning methods and language model-based applications. You should also have advanced proficiency in Python and experience with deep learning frameworks like PyTorch or TensorFlow. Additionally, you should have expertise with Transformer architectures, hands-on experience with LangChain or similar LLM frameworks, and experience designing end-to-end RAG systems using state-of-the-art orchestration frameworks.
